Director, AI Engineering and Enablement (Cloud Architect)
Bristol Myers Squibb
5 hours ago
Remote friendly (Madison, NJ)
United States
IT
Position Summary
- Lead the architecture, design, and implementation of scalable Enterprise AI applications.
- Drive the technical strategy for GenAI solutions, ensuring robust integration, security, and performance.
Key Responsibilities
- Architect, design, and build end-to-end GenAI applications.
- Define solution architectures leveraging cloud platforms (AWS, Azure, GCP) for scalability, reliability, and security.
- Present and propose technical solutions that fit requirements.
- Plan and coordinate project deliveries to meet timelines and business needs.
- Develop core features and infrastructure; write production-grade code in Python, React, and other languages as needed.
- Lead implementation of best software engineering practices (modularity, version control, CI/CD, automated testing).
- Perform code and architecture reviews to ensure robust, maintainable, high-performing solutions.
- Drive adoption of engineering best practices; set standards for thorough documentation.
- Directly manage an engineering team (senior & junior), including hiring, onboarding, and day-to-day activities; provide technical mentorship and foster innovation, learning, and inclusiveness.
- Set clear objectives, track progress, and conduct regular performance reviews.
- Research, design, and implement agentic AI solutions using frameworks such as LangChain and LangGraph.
- Build autonomous GenAI agents capable of reasoning, multi-step workflows, and tool-usage; optimize performance, reliability, and compliance.
- Evaluate emerging AI techniques/tools/frameworks and make strategic recommendations.
- Develop intuitive React user interfaces and integrate front-end with back-end APIs and AI models.
- Collaborate with UX/UI teams; maintain and evolve RESTful APIs and microservices.
- Deploy, monitor, and maintain AI applications using cloud-native infrastructure, containers, CI/CD, and observability tools.
- Oversee cloud resources for cost optimization and performance.
Qualifications & Experience
- Bachelor’s or Master’s in Computer Science, Engineering, or related field.
- 7+ years in software/AI engineering.
- 3+ years leading technical teams.
- Proven experience developing and deploying enterprise applications in cloud environments (AWS, Azure, GCP).
- Advanced skills in Python and React; familiarity with modern GenAI frameworks (e.g., LangChain, LangGraph).
- Strong understanding of AI application lifecycle, security, compliance, and performance optimization.
- Excellent communication, leadership, and project management skills.
Benefits (as listed)
- Health coverage (medical, pharmacy, dental, vision).
- Wellbeing support (including BMS Well-Being Account, BMS Living Life Better, EAP).
- Financial protection (401(k), disability, life/accident insurance, supplemental health, business travel protection, personal liability protection, identity theft benefit, legal support, survivor support).
- Paid time off (flexible time off; 11 paid national holidays; and other work-life time-off details as described).
Application Instructions
- Apply for the role; if the role doesn’t fully match your resume, they encourage applying anyway.
- (Role ID) R1599099: Director, AI Engineering and Enablement (Cloud Architect).
- Lead the architecture, design, and implementation of scalable Enterprise AI applications.
- Drive the technical strategy for GenAI solutions, ensuring robust integration, security, and performance.
Key Responsibilities
- Architect, design, and build end-to-end GenAI applications.
- Define solution architectures leveraging cloud platforms (AWS, Azure, GCP) for scalability, reliability, and security.
- Present and propose technical solutions that fit requirements.
- Plan and coordinate project deliveries to meet timelines and business needs.
- Develop core features and infrastructure; write production-grade code in Python, React, and other languages as needed.
- Lead implementation of best software engineering practices (modularity, version control, CI/CD, automated testing).
- Perform code and architecture reviews to ensure robust, maintainable, high-performing solutions.
- Drive adoption of engineering best practices; set standards for thorough documentation.
- Directly manage an engineering team (senior & junior), including hiring, onboarding, and day-to-day activities; provide technical mentorship and foster innovation, learning, and inclusiveness.
- Set clear objectives, track progress, and conduct regular performance reviews.
- Research, design, and implement agentic AI solutions using frameworks such as LangChain and LangGraph.
- Build autonomous GenAI agents capable of reasoning, multi-step workflows, and tool-usage; optimize performance, reliability, and compliance.
- Evaluate emerging AI techniques/tools/frameworks and make strategic recommendations.
- Develop intuitive React user interfaces and integrate front-end with back-end APIs and AI models.
- Collaborate with UX/UI teams; maintain and evolve RESTful APIs and microservices.
- Deploy, monitor, and maintain AI applications using cloud-native infrastructure, containers, CI/CD, and observability tools.
- Oversee cloud resources for cost optimization and performance.
Qualifications & Experience
- Bachelor’s or Master’s in Computer Science, Engineering, or related field.
- 7+ years in software/AI engineering.
- 3+ years leading technical teams.
- Proven experience developing and deploying enterprise applications in cloud environments (AWS, Azure, GCP).
- Advanced skills in Python and React; familiarity with modern GenAI frameworks (e.g., LangChain, LangGraph).
- Strong understanding of AI application lifecycle, security, compliance, and performance optimization.
- Excellent communication, leadership, and project management skills.
Benefits (as listed)
- Health coverage (medical, pharmacy, dental, vision).
- Wellbeing support (including BMS Well-Being Account, BMS Living Life Better, EAP).
- Financial protection (401(k), disability, life/accident insurance, supplemental health, business travel protection, personal liability protection, identity theft benefit, legal support, survivor support).
- Paid time off (flexible time off; 11 paid national holidays; and other work-life time-off details as described).
Application Instructions
- Apply for the role; if the role doesn’t fully match your resume, they encourage applying anyway.
- (Role ID) R1599099: Director, AI Engineering and Enablement (Cloud Architect).