Request for Proposal for 1605C2-26-R-00003.pdf

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Advancing Artificial Intelligence Skills in Registered Apprenticeships
Solicitation number
1605C2-26-R-00003
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This is a Request for Proposal (RFP) for a Women-Owned Small Business (WOSB) contract to advance Artificial Intelligence (AI) skills development through Registered Apprenticeship (RA) programs for the U.S. Department of Labor (DOL). The solicitation number is 1605C2-26-R-00003, issued March 18, 2026, with proposals due April 17, 2026 by 1500 EST. The contract is a fixed-price award for one 12-month base period plus four optional 12-month periods (June 1, 2026 through May 31, 2031). The contracting officer is Brittany L. Morrow and the contract specialist is Valerie Pickard. The NAICS code is 611513 (Other Professional and Management Development and Training), with a small business size standard of $11.5 million.

The vendor must support three primary goals: (1) increase AI literacy across all RA industries and occupations by developing free AI resources and training modules; (2) expand RA programs in "AI-centric" occupations where workers directly use or manage AI technologies; and (3) support development of RA programs in AI infrastructure occupations (such as construction, semiconductors, and telecommunications). Key deliverables include publishing five reports on AI integration in RA, developing an AI literacy framework, convening national stakeholder events, providing subject matter expertise to sponsors and employers, reviewing and vetting apprenticeable occupation requests, and developing AI-related curricula and work process schedules. The vendor must provide labor across 12 categories (Project Director, Project Manager, Senior SME, Subject Matter Experts, Analysts, Facilitators, Trainers, etc.) with estimated hours and ODC (Other Direct Costs) budgets ranging from $185,000 to $208,219 per period. Proposals must include three volumes: Technical (25 pages maximum), Past Performance (no page limit), and Price (no page limit). Award will be based on technical approach (40% weight), past performance (15% weight), and price (45% weight), with the technical factor significantly more important than price unless proposals are substantially equal on technical merit.

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WOMEN-OWNED SMALL

BUSINESS (WOSB)

SOLICITATION/CONTRACT/ORDER FOR COMMERCIAL PRODUCTS AND COMMERCIAL SERVICES

1. REQUISITION NUMBER PAGE 1 OF

2. CONTRACT NUMBER 3.AWARD/EFFECTIVE

DATE

4. ORDER NUMBER 5. SOLICITATION NUMBER 6. SOLICITATION ISSUE

DATE

7. FOR SOLICITATION

INFORMATION CALL:

a. NAME b. TELEPHONE NUMBER (No collect calls)

8. OFFER DUE DATE/

LOCAL TIME

9. ISSUED BY

13b. RATING

14. METHOD OF SOLICITATION

CODE

15. DELIVER TO 16. ADMINISTERED BY CODE

18a. PAYMENT WILL BE MADE BY CODE17a. CONTRACTOR/

OFFEROR

CODE

FACILITY

CODE

CODE

TELEPHONE NUMBER

17b. CHECK IF REMITTANCE IS DIFFERENT AND PUT SUCH ADDRESS IN

OFFER

18b. SUBMIT INVOICES TO ADDRESS SHOWN IN BLOCK 18a UNLESS BLOCK

BELOW IS CHECKED

REQUEST

FOR QUOTE

(RFQ)

INVITATION

FOR BID

(IFB)

REQUEST

FOR

PROPOSAL

(RFP)

SEE ADDENDUM

19.

ITEM NO.

20.

SCHEDULE OF SUPPLIES/SERVICES

21.

QUANTITY

22.

UNIT

23.

UNIT PRICE

24.

AMOUNT

(Use Reverse and/or Attach Additional Sheets as Necessary)

25. ACCOUNTING AND APPROPRIATION DATA 26. TOTAL AWARD AMOUNT (For Government Use Only)

28. CONTRACTOR IS REQUIRED TO SIGN THIS DOCUMENT AND RETURN 29. AWARD OF CONTRACT: REFERENCE

. YOUR OFFER ON SOLICITATION

(BLOCK 5), INCLUDING ANY ADDITIONS OR CHANGES WHICH ARE

SET FORTH HEREIN, IS ACCEPTED AS TO ITEMS:

30a. SIGNATURE OF OFFEROR/CONTRACTOR

30b. NAME AND TITLE OF SIGNER (Type or print) 30c. DATE SIGNED

31a. UNITED STATES OF AMERICA (SIGNATURE OF CONTRACTING OFFICER)

31b. NAME OF CONTRACTING OFFICER (Type or print) 31c. DATE SIGNED

AUTHORIZED FOR LOCAL REPRODUCTION

PREVIOUS EDITION IS NOT USABLE

STANDARD FORM 1449 (REV. 11/2021)

Prescribed by GSA - FAR (48 CFR) 53.212

10. THIS ACQUISITION IS UNRESTRICTED OR

NORTH AMERICAN

INDUSTRY CLASSIFICATION

STANDARD (NAICS):

SIZE STANDARD:

13a. THIS CONTRACT IS A

RATED ORDER UNDER

THE DEFENSE PRIORITIES

AND ALLOCATIONS

SYSTEM - DPAS (15 CFR 700)

SET ASIDE: % FOR:

11. DELIVERY FOR FREE ON

BOARD (FOB) DESTINATION

UNLESS BLOCK IS MARKED

SEE SCHEDULE

12. DISCOUNT TERMS

ARE ARE NOT ATTACHED

ARE ARE NOT ATTACHED

27a. SOLICITATION INCORPORATES BY REFERENCE (FEDERAL ACQUISITION REGULATION) FAR 52.212-1, 52.212-4.

FAR 52.212-3 AND 52.212-5 ARE ATTACHED.

27b. CONTRACT/PURCHASE ORDER INCORPORATES BY REFERENCE FAR 52.212-4. FAR 52.212-5 IS ATTACHED.

8(A)

ECONOMICALLY

DISADVANTAGED

WOMEN-OWNED SMALL

BUSINESS (EDWOSB)

SERVICE-DISABLED

VETERAN-OWNED

SMALL BUSINESS

(SDVOSB)

HUBZONE SMALL

BUSINESS

SMALL BUSINESS

NOTE: OFFEROR TO COMPLETE BLOCKS 12, 17, 23, 24, AND 30.

COPIES TO ISSUING OFFICE. CONTRACTOR AGREES TO FURNISH

AND DELIVER ALL ITEMS SET FORTH OR OTHERWISE IDENTIFIED ABOVE AND

ON ANY ADDITIONAL SHEETS SUBJECT TO THE TERMS AND CONDITIONS

SPECIFIED

DATED.

OFFER

ADDENDA

ADDENDA

1605C2-26-R-00003

US DEPARTMENT OF LABOR

200 CONSTITUTION AVE, NW

ROOM N4643

WASHINGTON DC 20210

US Department of Labor Office of Contracts Management 200 Constitution Ave, NW Room N-4643 Washington DC 20210

US Department of Labor Office of Contracts Management 200 Constitution Ave, NW Room N-4643 Washington DC 20210

04/17/2026 1500 ES

1630-OAA-26-CTR-0024

Valerie Pickard 202-693-4591

ETA OCM NATIONAL

ETA OCM NATIONAL

Brittany L. Morrow

611513

$11.5

03/18/2026

ETA (OCM)

The U.S. Department of Labor (DOL) Office of the Senior Procurement Executive (OSPE),on behalf of the Employment and Training

Administration (ETA), Office of Apprenticeship

(OA) has a requirement for Advancing Artificial

Continued...

STOCK RECORD (S/R)

STANDARD FORM 1449 (REV. 11/2021) BACK

19.

ITEM NO.

20.

SCHEDULE OF SUPPLIES/SERVICES

21.

QUANTITY

22.

UNIT

23.

UNIT PRICE

24.

AMOUNT

32a. QUANTITY IN COLUMN 21 HAS BEEN

RECEIVED INSPECTED AND CONFORMS TO THE CONTRACT, EXCEPT AS NOTED:

41a. I CERTIFY THIS ACCOUNT IS CORRECT AND PROPER FOR PAYMENT

32b. SIGNATURE OF AUTHORIZED GOVERNMENT

REPRESENTATIVE

32c. DATE

41b. SIGNATURE AND TITLE OF CERTIFYING OFFICER 41c. DATE

42a. RECEIVED BY (Print)

42b. RECEIVED AT (Location)

42c. DATE RECEIVED (MM/DD/YYYY) 42d. TOTAL CONTAINERS

40. PAID BY

32d. PRINTED NAME AND TITLE OF AUTHORIZED GOVERNMENT

REPRESENTATIVE

32e. MAILING ADDRESS OF AUTHORIZED GOVERNMENT REPRESENTATIVE 32f. TELEPHONE NUMBER OF AUTHORIZED GOVERNMENT REPRESENTATIVE

32g. EMAIL OF AUTHORIZED GOVERNMENT REPRESENTATIVE

33. SHIP NUMBER 34. VOUCHER NUMBER 35. AMOUNT VERIFIED

CORRECT FOR

PARTIAL FINAL

37. CHECK NUMBER

38. S/R ACCOUNT NUMBER 39. S/R VOUCHER NUMBER

36. PAYMENT

COMPLETE PARTIAL FINAL

ACCEPTED,

Intelligence Skills in Registered

Apprenticeships as defined in the Performance

Work Statement (PWS).

The Government intends to award one contract for the period of one (1) 12-month Base period and four (4) 12-month Option periods.

Questions regarding this RFP must be submitted

IN WRITING via email to the

Contract Specialist, Valerie Pickard , at pickard.valerie.s@dol.gov /

Contracting Officer, Brittany Morrow at morrow.brittany.l@dol.gov, NO later than March 26, 2026, at 12:00 PM ES by utilizing Attachment "A19-E.3 - QUESTION AND

ANSWER SPREADSHEET"

0001 Base Period: Advancing Artificial Intelligence

Skills in Registered Apprenticeships

Product/Service Code: U008

1001 Option Period One: Advancing Artificial

Intelligence Skills in Registered

Apprenticeships

(Option Line Item)

(Anticipated Option Exercise Date) 05/01/2027

Continued...

CONTINUATION SHEET

REFERENCE NO. OF DOCUMENT BEING CONTINUED PAGES

NAME OF OFFEROR OR CONTRACTOR

SUPPLIES/SERVICES

(B)

UNIT

(D)

UNIT PRICE

(E)

AMOUNT

(F)

OPTIONAL FORM 336 (4-86)

Sponsored by GSA FAR (48 CFR) 53.110

ITEM NO.

(A)

QUANTITY

(C)

NSN 7540-01-152-8067

1605C2-26-R-00003

Product/Service Code: U008

Period of Performance: 06/01/2027 to

05/31/2028

2001 Option Period Two: Advancing Artificial

Intelligence Skills in Registered

Apprenticeships

(Option Line Item)

(Anticipated Option Exercise Date) 05/01/2028

Product/Service Code: U008

Period of Performance: 06/01/2028 to

05/31/2029

3001 Option Period Three: Advancing Artificial

Intelligence Skills in Registered

Apprenticeships

(Option Line Item)

(Anticipated Option Exercise Date) 05/01/2029

Product/Service Code: U008

Period of Performance: 06/01/2029 to

05/31/2030

4001 Option Period Four: Advancing Artificial

Intelligence Skills in Registered

Apprenticeships

(Option Line Item)

(Anticipated Option Exercise Date) 05/01/2030

Product/Service Code: U008

Period of Performance: 06/01/2030 to

05/31/2031

B - Supplies or Services/Prices

BASE PERIOD

LABOR CATEGORY QUANTITY UNIT MEASURE RATE TOTALS

Project Director 500 hours Project Manager 1665 hours Senior Subject Matter Expert 1500 hours Subject Matter Expert 3960 hours Research Analyst 1500 hours Analyst 1665 hours Facilitator 700 hours

Marketing & Business Development Specialist 1500 hours

Trainer 500 hours Editor and Writer 500 hours Graphic Artist 300 hours Clerical/Admin Support 400 hours

ODC'S CATEGORY NTE: $ 185,000.00

Supplies and Materials Travel Outreach and Marketing

OPTION PERIOD 1

LABOR CATEGORY QUANTITY UNIT MEASURE RATE TOTALS

Project Director 500 hours Project Manager 1665 hours Senior Subject Matter Expert 1500 hours Subject Matter Expert 3960 hours Research Analyst 1500 hours Analyst 1665 hours Facilitator 700 hours Marketing & Business Development Specialist 1500 hours Trainer 500 hours Editor and Writer 500 hours Graphic Artist 300 hours Clerical/Admin Support 400 hours

ODC'S CATEGORY NTE: $ 190,550.00

Supplies and Materials

OPTION PERIOD 2

LABOR CATEGORY QUANTITY UNIT MEASURE RATE TOTALS

Project Director 500 hours Project Manager 1665 hours Senior Subject Matter Expert 1500 hours Subject Matter Expert 3960 hours Research Analyst 1500 hours Analyst 1665 hours Facilitator 700 hours Marketing & Business Development Specialist 1500 hours Trainer 500 hours Editor and Writer 500 hours Graphic Artist 300 hours Clerical/Admin Support 400 hours

ODC'S CATEGORY NTE: $ 196,266.50

Supplies and Materials

OPTION PERIOD 3

LABOR CATEGORY QUANTITY UNIT MEASURE RATE TOTALS

Project Director 500 hours Project Manager 1665 hours Senior Subject Matter Expert 1500 hours Subject Matter Expert 3960 hours Research Analyst 1500 hours Analyst 1665 hours Facilitator 700 hours Marketing & Business Development Specialist 1500 hours Trainer 500 hours Editor and Writer 500 hours Graphic Artist 300 hours Clerical/Admin Support 400 hours

ODC'S CATEGORY NTE: $ 202,154.50

Supplies and Materials

OPTION PERIOD 4

LABOR CATEGORY QUANTITY UNIT MEASURE RATE TOTALS

Project Director 500 hours Project Manager 1665 hours Senior Subject Matter Expert 1500 hours Subject Matter Expert 3960 hours Research Analyst 1500 hours Analyst 1665 hours Facilitator 700 hours Marketing & Business Development Specialist 1500 hours Trainer 500 hours Editor and Writer 500 hours Graphic Artist 300 hours Clerical/Admin Support 400 hours

ODC'S CATEGORY NTE: $ 208,219.13

Supplies and Materials

Contract Total Summary

Pricing Element

Base Period Total Option Period 1 Total Option Period 2 Total Option Period 3 Total Option Period 4 Total Total Contract Value (Base + 4 Options)

Amount

C - Description/Specifications

PART 1

General Information

The Office of Apprenticeship (OA) within the Department of Labor’s (DOL or the Department) Employment and Training Administration (ETA) proposes to seek the service of a vendor to advance Artificial Intelligence (AI) skills development through Registered Apprenticeship (RA) programs, both through the expansion of RA programs in AI-related occupations and the integration of AI education in RA programs across a broad range of industries.

1.1. Description of Services/Introduction:

The Vendor shall provide all personnel, equipment, tools, materials, supervision, and other items and non-personal services necessary to perform tasks defined in this Performance Work Statement. Except as specified in section C-3 as government-furnished property and services at the Vendor’s location, unless otherwise required to perform work at the Government location. The Vendor shall perform to the standards in the resultant delivery order.

1.2. Background:

The Department has increased efforts to expand and modernize RA, a proven and industry-driven workforce training model, to connect all Americans to good-paying jobs. Executive Order (EO) 14278, Preparing Americans for High-Paying Skilled Trade Jobs of the Future , directs the Secretaries of Labor, Commerce, and Education to develop a plan to reach and surpass one million new active apprentices in RA programs. The EO also commits to protecting and strengthening RAs as a means of unlocking the limitless potential of the American worker and business. In addition, several EOs focus on bolstering critical industries and direct federal agencies to increase the use of RA as a critical strategy to strengthen workforces in key industries, including AI (EO 14277 ), Maritime (EO 14269 ), and Nuclear Energy (EO 14302 ). Finally, America’s AI Action Plan directs DOL to prioritize AI skills development as a core objective within RAs and to expand the use of RAs in occupations critical to AI infrastructure. To support these goals, ETA proposes prioritizing the country’s reindustrialization needs through quality RA programs that equip American apprentices with the skills they need to fulfill a growing demand, especially in specific, targeted industries and occupations including in AI, maritime, and other strategic sectors.

According to the U.S. Bureau of Labor Statistics (BLS), the U.S. economy is projected to add over 6 million new jobs over the next decade , including millions of new jobs in critical and emerging sectors such as agriculture, technology (including AI), healthcare, nuclear, and maritime. The full range of the nation’s education and workforce training systems must adapt to the emerging needs in these sectors while also increasing access to training opportunities. Channeling the full skills and talents of all Americans means ensuring access to good-paying jobs in their communities and ensuring companies can find the best talent.

RA can be instrumental in enabling all Americans to obtain relevant skills and provide a pathway to a well-paying career. Yet many employers are not benefiting from the value of RAs as a talent development, recruitment, and retention solution.

1.3. Objectives:

Over the last 10 years, DOL has made significant investments in expanding RA, including investing in Industry Intermediaries as a strategy to expand RAs in key sectors, many of which have experienced significant growth in coordination with these investments.

DOL is exploring how to advance AI skill development through RA programs, both through the expansion of RA programs in AI-related occupations and the integration of AI education in RA programs across a broad range of industries. Through this procurement, the Department aims to provide these services to employers and potential sponsors who may need a high level of support to develop, expand, adopt, and/or hire apprentices.

The key goals for this award are to:

1. Increase AI Literacy through RA by increasing AI skills development within all RA industries and occupations, and developing and identifying free AI resources, tools, training modules, and curricula that RA sponsors can include in their work process schedules across all industries;

2. Expand RA programs in “AI-centric” occupations by supporting the development and expansion of RA programs for roles that directly use, build, or manage AI technologies as a core function of their daily responsibility; and

3. Expand RA programs in AI infrastructure occupations by supporting the development and expansion of RA programs for industries/occupations (e.g., construction, semiconductors, telecommunications, etc.) that build and maintain the infrastructure (i.e. AI data centers) that enables AI systems.

Specifically for goal 3—Expanding RA programs in AI infrastructure occupations—the Vendor is not expected to develop RA programs within AI Infrastructure occupations under this PWS. Instead, the Vendor shall:

• Provide National Apprenticeship System (NAS) stakeholders involved in AI infrastructure occupations with general technical assistance (TA) on the RA model and registration process;

• Support the development and expansion of RA programs in AI infrastructure occupations where there is a specific need to integrate AI, including, but not limited to:

o identifying AI infrastructure occupations broadly;

o providing subject matter expertise to sponsors and/or potential sponsors to incorporate AI into new and existing RA programs; and o supporting sponsors and/or potential sponsors in incorporating AI in work process schedules to increase AI literacy.

• Provide outreach and referral services to NAS stakeholders on how RA can be a solution to grow and expand the workforce talent pipeline into AI infrastructure occupations.

Examples of AI centric and AI infrastructure related occupations are listed in the table below:

Goal 1: Increase AI Literacy through Registered Apprenticeships (RA)

To increase AI literacy across the country, the goal is to encourage RA sponsors to integrate AI-related training into their work process schedules across all industries and occupations.

To assess how many RA programs include AI-related training modules, the offeror can identify AI-related keywords and work with OA staff to conduct a search of all RA work process schedules.

To increase the use of AI training modules in RA programs, the offeror can then identify existing and/or develop new AI-related training modules (generic and industry-specific) that RA sponsors may want to include in their work process schedules to increase AI literacy across all occupations.

The U.S. Department of Labor (DOL) encourages the offeror to consider DOL’s AI Literacy Framework where relevant, including the outlined foundational content areas and effective delivery principles of AI literacy.

Goal 2: Expand RA Programs in “AI-Centric” Occupations

OA defines AI-centric occupations as those that directly use, build, or manage AI technologies as a core function of their daily responsibilities.

Examples of existing AI-centric RA apprenticeable occupations include (but are not limited to) the following; however, OA is seeking a offeror that can expand this list based on industry need:

• AI Data Annotator (O*NET Code 15-1212.00) https://www.onetonline.org/link/summary/15-1212.00

• AI Solutions Specialist (O*NET Code 15-1299.08) https://www.onetonline.org/link/summary/15-1299.08

• Bioinformatics Technician (O*NET Code 15-2099.01) https://www.onetonline.org/link/summary/15-2099.01

• Business Intelligence Engineers (O*NET Code 15-2051.01) https://www.onetonline.org/link/summary/15-2051.01

• Machine Learning Data Curator (O*NET Code 15-2051.00) https://www.onetonline.org/link/summary/15-2051.00

• Prompt Engineer (O*NET Code 15-1251.00) https://www.onetonline.org/link/summary/15-2051.00

Goal 3: Expand RA Programs in AI Infrastructure Occupations

OA defines AI Infrastructure occupations as those that support the development of critical AI infrastructure (e.g., data centers).

The offeror is not expected to develop RA programs within AI Infrastructure occupations under this PWS. Instead, the offeror shall provide NAS stakeholders involved in AI infrastructure occupations with general technical assistance (TA) on the RA model and registration process.

The offeror will also support the development and expansion of RA programs in AI infrastructure occupations where there is a specific need to integrate AI, including but not limited to:

1. Identifying AI infrastructure occupations broadly

2. Providing subject matter expertise to sponsors and/or potential sponsors to incorporate AI into new and existing RA programs

3. Supporting sponsors and/or potential sponsors in incorporating AI into work process schedules to increase AI literacy

Additionally, the offeror shall provide outreach and referral services to NAS stakeholders on how RA can be a solution to grow and expand the workforce talent pipeline into AI infrastructure occupations.

Examples of those occupations include (but are not limited to):

• Electricians (O*NET Code 47-2111.00) https://www.onetonline.org/link/summary/47-2111.00

• Construction Laborers (O*NET Code 47-2061.00) https://www.onetonline.org/link/summary/47-2061.00

• Plumbers, Pipefitters, and Steamfitters (O*NET Code 47-2152.00) https://www.onetonline.org/link/summary/47-2152.00

• Welders, Cutters, Solderers, and Brazers (O*NET Code 51-4121.00) https://www.onetonline.org/link/summary/51-4121.00

• Telecommunications/Broadband Technician (O*NET Code 49-2022.00) https://www.onetonline.org/link/summary/49-2022.00

• Telecommunications Utilities Foreman (O*NET Code 49-1011.00) https://www.onetonline.org/link/summary/49-1011.00

• Network and Computer Systems Administrators (O*NET Code 15-1244.00) https://www.onetonline.org/link/summary/15-1244.00

• Industrial Engineering Technicians / Industrial Manufacturing Technicians / Quality and Metrology Technicians (O*NET Code 17-3026.00) https://www.onetonline.org/link/summary/17-3026.00

• Nanotechnology Engineering Technician (O*NET Code 17-3026.01) https://www.onetonline.org/link/summary/17-3026.01

• Electromechanical Technicians / Robotics Technicians (O*NET Code 17-3024.00) https://www.onetonline.org/link/summary/17-3024.00

QUALIFICATIONS

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ETA seeks a Offeror with expertise or knowledge in the following areas:

• Comprehensive knowledge and expertise in AI technologies and workforce industries.

• National (at a minimal) and global footprint (preferred) in developing and deploying cutting-edge AI technologies.

• Ability to use existing and newly developed technology solutions to provide and promote foundational framework and literacy across all occupations and industries.

• Expertise in applying and/or integrating innovative AI solutions across all industries and RA occupations to help employers bridge human and technology solutions to create and expand career pathways to economic opportunity for American workers.

• Facilitate the use of AI in critical industries by helping employers remove barriers in AI adoption, including assisting the Department in simplifying registration, supporting intermediaries, and aligning program design with employer needs.

• Ability to partner with, or make referrals to, Subject Matter Experts (SMEs) to identify and prioritize high-demand occupations essential to the buildout of AI-related infrastructure through collaboration with employers, industry groups, and other workforce stakeholders to develop or identify national skill frameworks and competency models for these roles.

• Ability to convene national industry associations, RA sponsors, employers, and other key national stakeholders to assist in developing high quality RA standards for new programs in AI-centric occupations, as well as expanding and adopting existing programs.

• Ability to partner with education and workforce system stakeholders to expand early career exposure programs and pre-apprenticeships that engage middle and high school students in priority AI infrastructure occupations.

• Ability to develop and/or publish reports, issue papers, publications, data synopsis, blogs, podcasts, and other materials from multiple partners.

• Experience in utilizing external SMEs to support NAS stakeholders (including other OA funded Intermediaries providing program development support) in the creation of RA programs in AI infrastructure occupations.

• Expertise in managing projects with C-suite executives and stakeholders and prioritizing and submitting deliverables timely and accurately.

• Ability to plan and coordinate high-profile national meetings and conferences (virtual and on-site) in close coordination with Departmental and OA leadership.

• Ability to design 508-compliant products (fact sheets, one-pagers, slide decks, etc.).

1.4. Scope:

Offeror shall work with the Department to implement a three-part approach to prioritize the development and growth of AI-related apprenticeships. The three parts of the approach are:

Part 1: Increase AI Literacy through RA by increasing AI skills development within all RA industries and occupations, and by developing and identifying free AI resources, tools, training modules, and curricula that RA sponsors can include in their work process schedules across all industries;

Part 2: Expand RA programs for “AI-centric” occupations by supporting the development and expansion of RA programs for roles that directly use, build, or manage AI technologies as a core function of their daily responsibility; and

Part 3: Expand RA programs for AI infrastructure occupations that support the development of critical AI infrastructure (e.g., data centers). Specifically for goal 3—Expanding RA programs in AI infrastructure occupations—the Offeror is not expected to develop RA programs within AI Infrastructure occupations under this PWS. Instead, the Offeror shall:

• Provide NAS stakeholders involved in AI infrastructure occupations with general technical assistance (TA) on the RA model and registration process;

• Support the development and expansion of RA programs in AI infrastructure occupations where there is a specific need to integrate AI, including, but not limited to:

o identifying AI infrastructure occupations broadly;

o providing subject matter expertise to sponsors and/or potential sponsors to incorporate AI into new and existing RA programs; and o supporting sponsors and/or potential sponsors in incorporating AI in work process schedules to increase AI literacy.

• Provide outreach and referral services to NAS stakeholders on how RA can be a solution to grow and expand the workforce talent pipeline into AI infrastructure occupations.

Offeror, or Industry Intermediary (e.g., Industry Associations, Workforce Intermediaries, and others) through this opportunity, shall provide the following activities:

• Conduct Sector-Based Outreach and Recruitment. Offeror shall develop and implement outreach and marketing, in coordination with the Department, to reach a variety of stakeholders, such as employers (including C-suite executives), industry associations, and others, to identify and encourage RA sponsors to integrate innovative AI training modules in RA program standards across all industries and occupations.

• Advancing “RA Accelerator” Models and Registration Support. Offeror shall provide TA, advice, and support to employers, in conjunction with OA, State Apprenticeship Agency (SAA) staff, and National Project on Apprenticeship Standards and Interoperability (PASI) to:

- facilitate and accelerate the process of creating “registration-ready” AI related standards to help employers bridge human and technology solutions; and

- create and expand career pathways to economic opportunity for American workers.

• Target AI Related Industry Sectors in Apprenticeship. Offeror shall develop and implement business-driven, sector-based strategies to increase AI literacy and expand RA programs in AI-centric and AI infrastructure occupations. National industry partnerships provide an opportunity to engage businesses and stakeholders to address industry-wide obstacles in AI adoption, including aligning program design with employer needs. Offeror shall implement complex AI requirements across ALL industries and partners to scale RA quickly. Offeror shall provide technical assistance individually and/or collectively to partners and ultimately accelerate the adoption of quality RA programs. Offeror shall support RA expansion in target industry sectors, by conducting activities including, but not limited to the following: 1) providing industry technical expertise, 2) conducting outreach to member organizations to support target industry development, and 3) convening stakeholders within target industries, providing logistical and administrative support, etc.

• Promote AI Related Innovation in RA. Offeror shall perform activities that support innovations promoting advancements in the RA ecosystem through AI and in support of AI literacy and RA expansion.

• Provide AI related SMEs and Facilitation. Offeror shall provide SME technical assistance to OA staff and NAS stakeholders (including RA sponsors, and OA Industry Intermediaries and grantees, etc.) to support the creation of industry-driven programs that address workforce needs tied to the expansion of AI literacy and the expansion of RA programs in AI infrastructure and AI centric occupations. The responsibilities of the SMEs will include providing AI related expertise and support in the development of standards and competencies for all occupations, AI-centric occupations. Offeror shall work with employers, including those with national and global footprints, to identify and deploy cutting-edge AI technologies and identify and recommend available free AI resources and training modules that RA sponsors can integrate into their work process schedules. Identify AI keywords to assist with the tracking of AI related RA programs and work process schedules.

• Develop AI Related Curricula, Related Training Instruction (RTI) Outlines, and Occupational Outlines. Offeror shall serve as an intermediary providing SME to support AI literacy in RA across all sectors and develop and/or propose new AI related curricula, RTI training modules, work process schedules, RA program models, and other necessary instruments for AI-centric occupations.

• Sustain new AI Related RA Programs and Partnerships. Offeror shall leverage partner and stakeholder resources (including employers, consortia of employers, industry associations, and other stakeholders) to replicate, expand, and sustain RA programs developed through this funding after project completion. Efforts should also support partnerships with education and workforce systems to ensure long-term sustainability of these efforts.

Specifically, the Offeror shall undertake activities that support ETA’s efforts to:

• Serve as SME to RA stakeholders who are interested in integrating AI into new or existing work process schedules to create sustainable career pathways for apprentices and a trained talent pipeline for employers ready to grow and expand their organization.

• Scale RA nationally and help apprentices gain career pathway opportunities in AI-centric occupations to compete in a global market.

• Increase AI literacy in all industries, especially new and emerging high-demand industries and occupations.

• Increase the integration of AI in apprenticeable occupations across a broad range of industries, ensuring that apprentices acquire essential skills and knowledge to thrive in a technology-driven workforce.

• Support the development of curricula, RTI Outlines, and Occupational Outlines that align with the RA program models for AI-centric occupations.

See Part 5 of this PWS for the full list of tasks that the Offeror shall perform.

1.5. Period of Performance:

The period of performance shall be for one 12-month Base Period with four 12-month option periods at the government's discretion.

The Period of Performance shall be as follows:

Base Period: June 1, 2026 – May 31, 2027 Option Period 1: June 1, 2027 – May 31, 2028 Option Period 2: June 1, 2028 – May 31, 2029 Option Period 3: June 1, 2029 – May 31, 2030 Option Period 4: June 1, 2030 – May 31, 2031

1.6. General Information

1.6.1 Quality Control:

The Offeror shall develop and maintain an effective quality control program to ensure services are performed in accordance with this PWS. The Offeror shall develop and implement procedures to identify, prevent, and ensure the non-recurrence of defective services.

The Offeror’s quality control (QC) program is the means by which it confirms that the work complies with the requirements of the resultant contract. At a minimum, the Offeror shall develop quality control procedures that address the areas identified in Technical Exhibit 1, “Performance Requirements Summary”. After acceptance of the Quality Control Plan (QCP), the Offeror shall receive the contracting officer’s acceptance in writing of any proposed change to their QC system. The QC Plan is to be delivered 30 days after the contract is awarded.

1.6.2 Quality Assurance:

The government shall evaluate the Offeror’s performance under the resultant contract in accordance with the Quality Assurance Surveillance Plan (QASP). This plan is primarily focused on what the Government must do to ensure that the Offeror has performed in accordance with the performance standards. It defines how the performance standards will be applied, the frequency of surveillance, and the minimum acceptable defect rate(s).

1.6.3 RESERVED

1.6.4 Recognized Holidays: Offeror is not required to perform services on these Holidays:

New Year’s Day Labor Day

Martin Luther King Jr.’s Birthday Columbus Day

President’s Day Veteran’s Day

Memorial Day Thanksgiving Day

Juneteenth Day Christmas Day

Independence Day

1.6.5 Hours of Operation / Place of Performance:

The Contractor is responsible for conducting performance under the awarded contract between the hours of 9:00 a.m. to 5:00 p.m.

EST Monday thru Friday, except Federal holidays or when the Government facility is closed due to local or national emergencies, administrative closings, or similar Government-directed facility closings. The Offeror shall at all times maintain an adequate workforce for the uninterrupted performance of all tasks defined within this statement of work when the Government facility is not closed for the above reasons.

The place of performance for this contract is remote/ telecommuting (work at home). Travel is required under the contract as identified via the project work plan.

1.6.6 Type of Contract:

The government contemplates award of a Fixed Price contract.

1.6.7 Security Requirements:

The Government shall exercise full and complete control over granting, withholding, or cancelling clearances for Offeror’s employees. The Government may grant temporary clearances to employees of the Offeror; however, the granting of a temporary clearance shall not be considered an assurance that full clearance shall in no way prevent, preclude, or bar the withdrawal or termination of any such clearances by the department.

Background Investigations

Individual Offeror on task with the resultant contract may be required to submit information for security and background prescreening sufficient to meet Homeland Security Presidential Directive 12 (HSPD-12) requirements.

The Offeror shall comply with agency personal identity verification procedures identified in the contract that implement Homeland Security Presidential Directive-12 (HSPD-12), Office of Management and Budget (OMB) guidance M-05-24, and Federal Information Processing Standards Publication (FIPS PUB) Number 201.

The Offeror shall insert this clause in all subcontracts when the sub-Offeror is required to have physical access to a federally-controlled facility or access to a Federal information system.

1.6.7.1 Physical Security.

The Offeror shall be responsible for safeguarding all government property provided for Offeror use. At the close of each work period, government facilities, equipment, and materials shall be secured.

1.6.7.2 Information.

Any information gathered by the Contractor in the course of performing this contract shall be used only for the purpose of performance under the resulting contract. Furthermore, no article, book, pamphlet, recording, broadcast, speech, television appearance, film, or photograph concerning any aspect of work performed under the resultant contract shall be published or disseminated through any media to the public or any third party without prior written authorization from the government.

The Contractor shall not make use of any information obtained from the performance of this work for any activity outside the scope of this project. All records/documents developed during the course of the resulting contract shall be protected from examination by unauthorized persons. Such records include all forms, computer files, program listings, manuals, documentation; correspondence files contract records and reports. The contractor shall retain all records/ documents in a secure manner. No materials or any summary of these materials shall be released to any individual or organization without prior written permission from the COR.

These obligations do not cease upon the expiration or termination of the resultant contract. The Contractor shall include the substance of this provision in all contracts for employment and subcontracting work performed under the resultant contract. The Contractor shall require all employees to sign non-disclosure agreements in compliance with this requirement.

1.6.8. Special Qualifications.

Not Applicable

1.6.9. Post Award Conference/Periodic Progress Meetings:

The Offeror agrees to attend any post award conference convened by the contracting activity or contract administration office in accordance with Federal Acquisition Regulation Subpart 42.5. The Contracting Officer, Contracting Officer’s Representative (COR), and other government personnel, as appropriate, may meet periodically with the Offeror to review the Offeror's performance. At these meetings, the Contracting Officer will apprise the Offeror of how the government views the Offeror's performance, and the Offeror shall apprise the government of problems, if any, being experienced. Appropriate action shall be taken to resolve outstanding issues.

These meetings shall be at no additional cost to the government.

1.6.10. Contracting Officer’s Representative:

A COR will be delegated under separate cover.

1.6.11. Key Personnel:

The personnel listed below are considered essential to the work being performed hereunder.

Prior to substituting, removing, and replacing any of the key personnel, the Offeror shall notify the Contracting Officer 10 working days in advance and shall submit a written request and justification (including proposed substitutions) in sufficient detail to permit evaluation of the impact on this contract. The proposed substitution of personnel must meet or exceed the education, experience, and other technical requirements of the personnel being replaced, and the position must be filled within 14 days of being vacated. No change in personnel shall be made by the Offeror without the prior written consent of the Contracting Officer. Resumes for the proposed replacement must be provided to the COR for review. The Government must approve the replacement candidate in writing before he/she can start work.

Before removing, replacing, or diverting any of the listed or specified personnel, the Offeror shall:

1. Notify the Contracting Officer Representative (COR) at least 14 calendar days in advance;

2. Submit a resume for review and approval with a justification (including proposed substitutions) in sufficient detail to permit evaluation of the impact on this contract; and

3. Obtain the COR’s written approval.

Notwithstanding the foregoing, if the Offeror deems immediate removal or suspension of any member of its management team is necessary to fulfill its obligation to maintain satisfactory standards of employee competency, conduct, and integrity under the clause at 48 CFR 970.5203–3, Offeror's Organization, the Offeror may remove or suspend such person at once, although the Offeror shall notify COR prior to, or concurrently with, such action.

At the point of contract award, key personnel must be identified. Offeror is expected to be at full staff capacity at time of award.

a) The list of personnel may, with the consent of the contracting parties, be amended from time to time during the course of the contract to add or delete necessary or required labor categories.

List of Key Personnel for this contract:

1. Project Director

2. Project Manager

3. Senior SME

1.6.11.1 KEY PERSONNEL QUALIFICATIONS:

Project Director: Individual with overall responsibility for the project, including quality assurance; serves as the main Point of Contact (POC) with OA relating to contractual obligations.

Individual qualified by both education (Bachelor’s level) and experience (8+ years) or relevant experience (10+ years without a degree) to conduct the primary tasks described in the PWS, especially related to the following areas:

• Leadership – Provides oversight and direction to a team of staff;

• Contracts – Interprets contracts, ensures responsiveness, and achieves successful performance; this may include subject matter expertise and specific technical knowledge; and

• Management – Establishes schedules, meets deadlines, assigns responsibilities, and monitors and summarizes progress of project (including budgets).

Project Manager: Individual qualified by both education (Bachelor’s level) and experience (8+ years) or relevant experience (10+ years without a degree) to conduct the primary tasks described in the PWS, especially related to the following areas:

• Leadership: Provides oversight and direction to a team of staff;

• Contracts: Interprets contracts and work requirements, ensures responsiveness, and achieves successful performance; may include subject matter and specific technical knowledge;

• Deliverables: Writing, editing, ensuring final products are proofread and meet certain content standards;

• Analysis: Assists in analysis, evaluation, and implementation of projects/goals;

• Management: Establishes schedules, meets deadlines, assigns responsibilities, and monitors and summarizes progress of project (including budgets); and

• Reporting: Prepares reports for senior management and DOL leadership regarding the status of projects.

Senior SME: Individual qualified by both education (Bachelor’s level) and experience (8+ years) or relevant experience (10+ years without a degree) to conduct the primary tasks described in the PWS, especially related to the following areas:

• Familiarity with concepts, practices, and procedures under Tasks 2-4;

• Expertise with RA system, including but not limited to, §29 part CFR 29, scaling RA nationally, building high quality career pathways to RA, convening diverse stakeholders, improving processes, and developing partnership strategies, etc.;

• Writing, editing, and proofreading technical assistance products, ensuring final products meet certain content standards;

• Applying data-driven strategies to process and implement tasks listed within the PWS;

• Thinking creatively and innovatively;

• Skill set shall include strong verbal communication, organization and attention to detail, the ability to work well under pressure in fast-paced professional environments, the ability to manage competing and evolving priorities, and the ability to quickly incorporate constructive feedback;

• Ability to conduct partnership activities with other workforce system partners and higher education; and

• Accelerate expansion of the RA model in industries and sub-sectors that have not traditionally used RA.

1.6.12. Identification of Offeror Employees:

All contract personnel attending meetings, answering government telephones, and working in other situations where their Offeror status is not obvious to third parties are required to identify themselves as such to avoid creating an impression in the minds of members of the public that they are government officials. They must also ensure that all documents or reports produced by Offerors are suitably marked as Offeror products or that Offeror participation is appropriately disclosed. If required, all Offeror personnel shall be required to obtain and wear badges in the performance of the resultant contract.

1.6.13. Organizational Conflict of Interest:

Offeror and sub-Offeror personnel performing work under the resulting award action may receive, have access to or participate in the development of proprietary or source selection information (e.g., cost or pricing information, budget information or analyses, specifications or work statements, etc.) or perform evaluation services which may create a current or subsequent Organizational Conflict of Interests (OCI), as defined in FAR Subpart 9.5. The Offeror shall notify the Contracting Officer immediately whenever it becomes aware that such access or participation may result in any actual or potential OCI and shall promptly submit a plan to the Contracting Officer to avoid or mitigate any such OCI. The Offeror’s mitigation plan will be determined to be acceptable solely at the discretion of the Contracting Officer and in the event the Contracting Officer unilaterally determines that any such OCI cannot be satisfactorily avoided or mitigated, the Contracting Officer may affect other remedies as he or she deems necessary, including prohibiting the Offeror from participation in subsequent contracted requirements which may be affected by the OCI.

1.6.14. Offeror Travel:

Offeror shall be required to travel within the Continental United States and within the National Capital Region during the performance of this contract in support of communication and transformation activities, such as attendance at related conferences and forums. The Contractor will be authorized for travel expenses consistent with the substantive provisions of the Federal Travel Regulation (FTR) and FAR 31.205-46.

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