Director, AI Engineering and Enablement
Bristol Myers Squibb
2 months 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 across the organization.
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 across the organization.
- Set standards for thorough, clear documentation of architectures, processes, and code.
- Directly manage engineers (senior & junior): hiring, onboarding, and day-to-day activities.
- Provide technical mentorship; foster a culture of innovation, learning, and inclusiveness.
- Set clear objectives, track progress, and conduct regular performance reviews.
- Research, design, and implement agentic AI solutions using LangChain and LangGraph.
- Build autonomous genAI agents for reasoning, multi-step workflows, and tool-usage.
- Optimize agent performance, reliability, and compliance for enterprise production.
- Evaluate emerging AI techniques/tools/frameworks and make strategic recommendations.
- Develop React user interfaces; integrate front-end with back-end APIs and AI models.
- Collaborate with UX/UI teams to drive adoption and usability.
- Maintain and evolve RESTful APIs and microservices architecture.
- 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 AWS, Azure, and GCP.
- Advanced skills in Python and React; familiarity with 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 (explicitly listed)
- Health Coverage: medical, pharmacy, dental, vision.
- Wellbeing Support: BMS Well-Being Account, BMS Living Life Better, EAP.
- Financial Well-being and Protection: 401(k), short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, survivor support.
- Work-life: Paid Time Off (flexible/unlimited for US exempt employees; 160 hours annual paid vacation for certain roles; plus paid national holidays as described; additional time off may include sick time, volunteer days, summer hours, leaves of absence, and annual Global Shutdown).
On-site Protocol (explicit job function requirement)
- Site-essential: 100% of shifts onsite.
- Site-by-design: hybrid with at least 50% onsite (onsite presence is essential).
- Field-based/remote-by-design: ability to travel onsite to visit customers/patients/partners and attend meetings as directed.
Application/Other instructions (non-legal)
- Contact: For accommodation/adjustments with the application: adastaffingsupport@bms.com.
- If posting is missing required local information/appears incorrect: TAEnablement@bms.com (provide Job Title and Requisition number).
- Lead the architecture, design, and implementation of scalable Enterprise AI applications.
- Drive the technical strategy for GenAI solutions, ensuring robust integration, security, and performance across the organization.
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 across the organization.
- Set standards for thorough, clear documentation of architectures, processes, and code.
- Directly manage engineers (senior & junior): hiring, onboarding, and day-to-day activities.
- Provide technical mentorship; foster a culture of innovation, learning, and inclusiveness.
- Set clear objectives, track progress, and conduct regular performance reviews.
- Research, design, and implement agentic AI solutions using LangChain and LangGraph.
- Build autonomous genAI agents for reasoning, multi-step workflows, and tool-usage.
- Optimize agent performance, reliability, and compliance for enterprise production.
- Evaluate emerging AI techniques/tools/frameworks and make strategic recommendations.
- Develop React user interfaces; integrate front-end with back-end APIs and AI models.
- Collaborate with UX/UI teams to drive adoption and usability.
- Maintain and evolve RESTful APIs and microservices architecture.
- 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 AWS, Azure, and GCP.
- Advanced skills in Python and React; familiarity with 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 (explicitly listed)
- Health Coverage: medical, pharmacy, dental, vision.
- Wellbeing Support: BMS Well-Being Account, BMS Living Life Better, EAP.
- Financial Well-being and Protection: 401(k), short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, survivor support.
- Work-life: Paid Time Off (flexible/unlimited for US exempt employees; 160 hours annual paid vacation for certain roles; plus paid national holidays as described; additional time off may include sick time, volunteer days, summer hours, leaves of absence, and annual Global Shutdown).
On-site Protocol (explicit job function requirement)
- Site-essential: 100% of shifts onsite.
- Site-by-design: hybrid with at least 50% onsite (onsite presence is essential).
- Field-based/remote-by-design: ability to travel onsite to visit customers/patients/partners and attend meetings as directed.
Application/Other instructions (non-legal)
- Contact: For accommodation/adjustments with the application: adastaffingsupport@bms.com.
- If posting is missing required local information/appears incorrect: TAEnablement@bms.com (provide Job Title and Requisition number).