Director, Principal Engineer (Cloud Architect)

Role Summary

As Principal AI Engineer within Bristol Myers Squibb's AI Engineering and Enablement team, you will lead the architecture, design, and implementation of scalable Enterprise AI applications. Drive the technical strategy for Gen AI solutions, ensuring robust integration, security, and performance across the organization.

Responsibilities

• Enterprise GenAI Solution Development
• Architect, design, and build end-to-end GenAI applications
• Define solution architectures for 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 ensure timelines and business needs are met
• 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, and high-performing solutions
• Drive adoption of engineering best practices across the organization
• Set standards for thorough, clear documentation of architectures, processes, and code
• Team Management & Mentorship: Directly manage an engineering team (senior & junior engineers), overseeing 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
• Framework Expertise: 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 agent performance, reliability, and compliance for enterprise production
• Evaluate emerging AI techniques, tools, and frameworks; make strategic recommendations
• Champion AI/engineering best practices, foster continuous learning through tech talks and workshops
• Full Stack Development & Deployment: Develop intuitive user interfaces in React; integrate front-end with back-end APIs and AI models
• Collaborate with UX/UI teams to drive adoption and usability of AI applications
• 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 ensuring cost optimization and performance

Qualifications

• 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, React, and familiarity with modern GenAI frameworks (LangChain, LangGraph, etc.)
• Strong understanding of AI application lifecycle, security, compliance, and performance optimization
• Excellent communication, leadership, and project management skills

Education

• Bachelor's or Master's in Computer Science, Engineering, or related field