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 LangChain/LangGraph; 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. Qualifications 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 (LangChain, LangGraph). Strong AI lifecycle, security, compliance, and performance knowledge. Benefits (explicit) 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). #J-18808-Ljbffr