Lead Learning Architect - AI Enablement

Day to Day As a Lead Learning Architect on the AI for Indeed Enablement team, you will own learning and enablement strategies that empower Indeedians to effectively use AI to help people get jobs. You will design scalable learning architectures, develop enablement frameworks, and drive execution directly or through clear delegation. You will partner with program managers who handle coordination and logistics, allowing you to focus on learning strategy, quality, and measurable impact. The AI for Indeed Enablement team helps employees effectively adopt AI in their day-to-day work. As part of AI for Indeed within Business Technology, the team designs and scales enablement programs, guidance, and supporting frameworks that make AI practical, safe, and high impact across the company. Their work helps teams discover and use the right AI tools, build AI skills, and translate emerging capabilities into better workflows, improved outcomes, and faster progress toward helping people get jobs. Responsibilities Own the learning and enablement strategy for workforce AI capabilities, translating behavior change and business objectives into clear learning outcomes, competency models, and persona‑based enablement approaches. Design scalable, inclusive learning architectures using systems thinking to support diverse audiences and use cases; build community‑driven models with peer‑to‑peer scaffolding and self‑sustaining knowledge‑sharing mechanisms. Develop and curate AI learning pathways and self‑serve resource ecosystems (wikis, templates, decision frameworks, learning platforms) that balance guided learning, peer‑generated content, and experiential practice. Drive enablement execution by directly creating high‑impact learning experiences or delegating to subject matter experts, vendors, or community contributors. Establish learning measurement frameworks that track leading indicators (engagement, community participation) and lagging indicators (adoption, proficiency, behavior change, operational impact); use data to optimize programs and demonstrate ROI. Partner with program managers on rollout planning while maintaining ownership of learning quality, instructional integrity, and learner experience throughout execution. Skills/Competencies Requires a minimum of 10 years of related experience; or a minimum of 8 years with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience. Learning Architecture & Systems Thinking: Expertise in designing scalable learning systems that drive AI‑driven workforce transformation, competency models, and community‑driven enablement frameworks; ability to apply systems thinking to federated learning models with diverse audiences and modalities; applies leading and innovative change management principles to support sustained business impact. Enablement Strategy & Execution: Ability to translate business priorities into clear learning strategies with defined outcomes and persona‑based approaches; sound judgment about when to build directly vs. delegate with clear quality standards. Instructional Design & Inclusive Practices: Deep knowledge of adult learning principles, instructional design methodologies, and universal design; commitment to creating accessible, equitable learning experiences for diverse global audiences; Ability to implement cutting‑edge experiences leveraging AI skills and agents. Content Strategy & Curation: Experience developing learning pathways and self‑serve resource ecosystems; skilled at determining what to create, curate, commission, or crowd‑source to maximize impact and scalability; leverages approved AI tools and features to add speed and quality to content‑building. Learning Measurement: Proven ability to create and implement a learning measurement strategy that measures quantitative and qualitative learning outcomes; can apply data strategy and management principles to ensure availability and quality; experience creating data‑driven insights on the learning program’s impact on AI‑driven business KRs and KPIs. AI & Technology Fluency: Proficiency with AI tools and concepts; ability to quickly learn new capabilities and translate technical features into practical learning applications and use cases. Salary Range Transparency Tier 1 - United States of America 88,000- 132,000 USD per year Tier 2 - United States of America 98,000 - 148,000 USD per year Tier 3 - United States of America 108,000 - 162,000 USD per year Tier 5 - United States of America 123,000 - 185,000 USD per year Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job‑related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed’s total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region‑specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site ( and recruiters can confirm how location is considered for a specific role. Benefits - Health, Work/Life Harmony, & Wellbeing We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity‑based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at ! Equal Opportunities and Accommodations Statement Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro‑diversity, disability, age, or veteran status, or any other non‑merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page ( Inclusion & Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. 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AI Notice Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision‑making. Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws. The deadline to apply to this position is 7/10/2026. Job postings may be extended at the hiring team’s discretion based on applicant volume. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID 47279 #J-18808-Ljbffr Indeed