Director, AI Engineering and Enablement
Bristol Myers Squibb
2 months ago
Remote friendly (Princeton, NJ)
United States
IT
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).
Application instruction
- Apply even if you don’t perfectly match the resume.
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).
Application instruction
- Apply even if you don’t perfectly match the resume.