Director, People AI Engineering & Innovation
J
JobgetherEnterprise AI
Remote within the United States.Full-TimeDirector
Salary122,400 - 204,400 USD per year
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Job Details
- Experience
- 10+ years of progressive experience in technology, software, data, or AI, including leadership of enterprise-grade production solutions and teams; 3+ years of deep hands-on experience designing and delivering AI products, agents, grounded solutions, workflows, integrations, and enterprise applications in production.
- Required Skills
- RESTful APIs
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field, or equivalent relevant experience.
- 10+ years of progressive experience in technology, software, data, or AI, including leadership of enterprise-grade production solutions and teams.
- 3+ years of deep hands-on experience designing and delivering AI products, agents, grounded solutions, workflows, integrations, and enterprise applications in production.
- Strong expertise in solution architecture, APIs, data flows, identity management, roles and access, security, monitoring, evaluations, and production readiness.
- Experience developing AI technical strategies, architecture roadmaps, reusable technical patterns, and engineering frameworks.
- Experience with enterprise AI platforms such as Microsoft Copilot, UnifyApps, Leena AI, Claude, or comparable technologies.
- Ability to embed security, privacy, responsible AI, human oversight, and auditability throughout the product lifecycle.
- Strong product judgment and ability to translate ambiguous business challenges into practical technical solutions with measurable outcomes.
- Ability to prototype, review technical designs and engineering work, troubleshoot complex issues, and collaborate directly with engineers.
- Experience defining decision rights and operating interfaces across business, product, platform, data, portfolio, and control teams.
- Proven talent leadership, including coaching, development planning, succession planning, hiring, team building, and effective use of external partners.
- Preferred: advanced degree in Computer Science, Engineering, AI, Data Science, or a related field.
- Preferred: familiarity with enterprise copilots, agentic workflows, retrieval-augmented generation (RAG), orchestration platforms, and model evaluation.
Responsibilities
- Define and evolve the People organization’s AI strategy, architecture, platform direction, and capability roadmap.
- Establish reusable technical patterns, engineering standards, decision frameworks, and delivery practices.
- Assess business opportunities and technical feasibility, selecting among AI, Workday, automation, process simplification, or other platforms.
- Participate directly in discovery, prototyping, architecture and integration design, technical reviews, evaluations, and troubleshooting.
- Lead approved AI solutions through discovery, design, development, validation, launch, and stabilization.
- Integrate security, privacy, identity, access controls, least-privilege permissions, and People-data protection throughout the product lifecycle.
- Establish human oversight, escalation procedures, monitoring, auditability, and controls for sensitive or higher-risk use cases.
- Define success metrics and review solution results with product owners and the Execution COE.
- Transfer stabilized solutions to designated owners while maintaining technical governance over architecture, security, integrations, evaluations, and production readiness.
- Build and lead an AI product and engineering team, coaching team members and hiring for skill gaps.
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