Director, Principal Engineer (Cloud Architect)

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

Working with Us
Challenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here uniquely interesting work happens every day in every department. From optimizing a production line to the latest breakthroughs in cell therapy this is work that transforms the lives of patients and the careers of those who do it. Youll get the chance to grow and thrive through opportunities uncommon in scale and scope alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits services and programs that provide our employees with the resources to pursue their goals both at work and in their personal lives. Read more: Summary

As Principal AI Engineer within Bristol Myers Squibbs 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.

Key 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. Hands-On Engineering Leadership
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 a 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 infrastructurecontainers CI/CD and observability tools.
Oversee cloud resources ensuring cost optimization and performance.

Qualifications & Experience

Bachelors or Masters 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 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

#LI-Hybrid

Working with UsChallenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here uniquely interesting work happens every day in every department. From optimizing a production line to the latest breakthrou...

Key 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. Hands-On Engineering Leadership
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 a 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 infrastructurecontainers CI/CD and observability tools.
Oversee cloud resources ensuring cost optimization and performance.

Qualifications & Experience

Bachelors or Masters 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 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

#LI-Hybrid

Key Skills

Kubernetes
S3
Google Cloud Platform
Cassandra
System Architecture
Redshift
AWS
Cloud Architecture
NoSQL
UML
Kafka
Distributed Systems

Apply Now

About Company

Bristol Myers Squibb

Bristol-Myers Squibb is a global biopharmaceutical company focused on discovering, developing and delivering innovative medicines for patients with serious diseases. Our medicines are helping millions of patients around the world in disease areas such as oncology, cardiovascular, immu ... View more

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