Director, AI Engineering and Enablement

Position:
Director, AI Engineering and Enablement Responsibilities

• Lead architecture, design, and implementation of scalable enterprise GenAI/AI applications.
• Architect, build, and deliver end-to-end GenAI solutions; propose solutions that meet requirements.
• Plan and coordinate project deliveries to meet timelines and business needs.
• Lead hands‑on engineering: develop core features/infrastructure; write production‑grade code (Python, React, as needed).
• Implement software best practices (modularity, version control, CI/CD, automated testing) and perform code/architecture reviews.
• Set standards for clear documentation; drive adoption of engineering best practices.
• Manage and mentor senior/junior engineers (hiring, onboarding, objectives, progress tracking, performance reviews).
• Research and implement agentic AI solutions using Lang Chain/Lang Graph; build autonomous agents for reasoning, multi-step workflows, and tool use; optimize performance, reliability, and compliance.
• Develop React user interfaces; integrate front‑end with APIs/AI models; maintain REST APIs and microservices.
• Deploy/monitor/maintain AI apps with cloud‑native infrastructure, CI/CD, and observability; oversee cloud cost/performance.

• Bachelor’s or Master’s in Computer Science/Engineering (or related).
• 7+ years software/AI engineering; 3+ years leading technical teams.
• Experience developing/deploying enterprise cloud applications (AWS, Azure, GCP).
• Advanced Python and React; familiarity with GenAI frameworks (Lang Chain, Lang Graph).
• Strong AI lifecycle, security, compliance, and performance knowledge.

• Health coverage; wellbeing support; 401(k), disability, life/accident insurance, supplemental health, business travel protection, and more.
• Paid time off (including flexible time off and national holidays, per eligibility).