Senior AI Engineer

Bristol Myers Squibb

Senior AI Engineer at Bristol Myers Squibb designing AI-driven applications and solutions. Collaborating in agile teams to drive advancements in pharma technology and care.

Posted 7/14/2026full-timeSeattle • Massachusetts, New Jersey, Washington • 🇺🇸 United StatesSenior💰 $137,530 - $183,319 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI-powered applications, with strong proficiency in Python, FastAPI, and cloud-native solutions on AWS. Capable of integrating enterprise LLM services and employing AI coding agents to enhance software delivery within agile environments.

Highest-signal resume keywords

Python ProgrammingCloud-Native Application DevelopmentAI-Powered Application DesignAWS Cloud ServicesAgile Methodologies

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Applicant Tracking System Keywords

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Hard Skills

FastAPITypeScriptNode.jsLangGraphLangChainPydanticAITerraformAWS CDKCloudFormationCI/CD

Soft Skills

Strong Communication SkillsCurious MindsetAdaptabilityCollaboration

Tools & Technologies

ClaudeOpenAIGeminiGrokAWS BedrockClaude CodeCodexGemini CLICursorGitHub Copilot

Industry Keywords

AI EngineeringPharmaceutical R&DAgile Delivery ModelEnterprise ArchitectureAI Accelerator

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsNode.jsPythonTerraformTypeScript

About the role

Key responsibilities & impact

As a Senior AI Engineer on the AI Venture Studio team, you will be a hands-on senior individual contributor who leans into artificial intelligence (AI) to design and build impactful solutions to transform patients’ lives.
This role is accountable for the AI-first engineering of cloud-native applications, agentic AI products, and the knowledge and context infrastructure that powers them.
You will have access to the latest AI-centric tools and technologies to support activities such as the design of APIs and MCPs, cloud services orchestration, agent runtime deployment, workflow pipeline implementation, and reusable platform pattern development that enables AI Accelerator projects to move fast without giving up reliability, observability, security, or enterprise architectural alignment.
This role lives inside the AI Accelerator delivery model: six fully agile two-week sprints across a twelve-week cycle to build, test, validate, and prepare minimum viable products (MVPs) for broader organizational adoption and scaling.
AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried in unstructured knowledge files, multimodal documents and reports, operational records, and scientific evidence packages.
Ship in cycles by demonstrating engineering progress and lessons learned every two weeks.
Focus on AI-first solutioning that prioritizes BMS technology investments (AWS, Claude, LangSmith, etc.) with the best chance of meeting use case and project success metrics.
Collaborate effectively with other engineers (AI, data, UI/UX, machine learning) and broader agile AI accelerator product teams.
Demonstrate a curious and inquisitive mindset with broad technical adaptability while staying hands-on with frontier AI technologies, AI coding agents, and the latest agentic engineering capabilities.

Requirements

What you’ll need

Bachelor’s or higher degree in Computer Science, Engineering, Science, or a related field.
5+ years of experience designing, building, and scaling software applications, cloud platforms, APIs, or distributed systems with increasing technical responsibility.
Strong proficiency in Python and FastAPI and/or TypeScript/Node, or comparable backend application frameworks.
Hands-on experience building and operating cloud-native applications on AWS.
Experience designing and delivering AI-powered applications that integrate LLMs, retrieval systems, workflows, agents, or other AI capabilities into real-world user experiences.
Experience building agentic AI applications using frameworks such as LangGraph, LangChain, PydanticAI, Claude Agent SDK, or similar technologies.
Experience with containers, CI/CD, GitHub-based workflows, automated testing, environment configuration, and infrastructure-as-code such as Terraform, AWS CDK, or CloudFormation.
Practical experience integrating enterprise LLM services such as Anthropic (preferred), OpenAI, Gemini, Grok, AWS Bedrock, or similar enterprise-approved AI services into AI-powered applications.
Demonstrated understanding of the architectural patterns, trade-offs, and engineering practices required to scale AI applications from prototype to production, including reliability, observability, security, performance, and cost management.
Working knowledge of secure and responsible AI application patterns including authentication, authorization, enterprise SSO, secrets management, auditability, model evaluation, guardrails, and secure application architecture.
Demonstrated ability to effectively use AI coding agents and AI-assisted development tools such as Claude Code, Codex, Gemini CLI, Cursor, Windsurf, or GitHub Copilot to accelerate software delivery.
Strong communication skills and comfort operating within fast-moving, cross-functional agile teams where ambiguity, rapid experimentation, and continuous learning are expected.

Benefits

Comp & perks

Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.