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Senior Frontend Engineer

Bristol Myers Squibb
United Statesfull_timeVerifiedPosted 21 May 2026
💰 $183,319/yr($137,530/yr$183,319/yr)

About the role

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t 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. You’ll 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: careers.bms.com/working-with-us.

Summary:

As a Senior Frontend Engineer within Bristol Myers Squibb's AI Venture Studio delivery team, you will be a hands-on senior individual contributor who turns advanced AI capabilities into useful, trusted, and enterprise-ready product experiences. You will build React-based applications for AI Accelerator projects that move from discovery to working MVPs in 12-week agile cycles, partnering with AI Engineers, App/Cloud Engineers, Data Engineers, Data Scientists, designers, product owners, and domain experts across the organization. You will create chat, copilot, workflow, evaluation, and human-in-the-loop interfaces that make agentic AI systems understandable, usable, and trusted through verifiable source references, provenance, confidence displays, and clear review paths for scientific and business teams.

BMS is an AWS-first engineering environment for these products, and the frontend work you lead will connect cleanly to AWS-hosted services and a variety of AI-first consuming applications, ranging from bespoke React apps to integrated data and portal-based user experiences. This is a role for someone excited to work hands-on with the latest AI tools and frontier technologies, pushing the limits of what technology can do to help BMS discover, develop, and deliver innovative medicines.


Key Responsibilities:

AI Product UX and Frontend Delivery

  • Own frontend technical delivery for assigned AI Accelerator projects, from rapid prototyping through production-adjacent hardening.

  • Build React and TypeScript experiences for chat, copilots, workflow automation, agent supervision, prompt/configuration screens, data apps, and evaluation/feedback workflows.

  • Design intuitive interfaces for streaming AI responses, tool execution status, verifiable source references, citations/provenance, confidence displays, multimodal review, human approval steps, and error recovery.

  • Build human-in-the-loop experiences that make living context inspectable and correctable by humans, including review, diff, approval, correction, and provenance workflows for agent-maintained knowledge.

  • Integrate frontend experiences within BMS-aligned consuming apps and services.

Frontend Architecture, Reuse, and Enterprise Standards:

  • Define frontend architecture patterns, reusable components, and starter templates that help future Accelerator pods move faster.

  • Partner with designers to translate designs, mock ups and living prototypes into accessible, polished, production-quality components and workflows.

  • Collaborate with AI, App/Cloud, and Data Engineering teams to define clean API contracts, streaming patterns, auth flows, and telemetry boundaries.

  • Build frontends that align with enterprise standards for accessibility, security, input validation, safe rendering, performance, and maintainability.

  • Support AI Accelerator agile cycles of six two-week sprints over a 12-week cycle by building, testing, validating, and hardening frontend product increments each sprint.

AI-Enabled Engineering, Testing, and Quality:

  • Use coding agents and AI-assisted development tools effectively while maintaining strong validation, security, and code quality practices.

  • Write and maintain frontend test suites using tools such as Vitest/Jest, React Testing Library, Playwright, Cypress, or similar frameworks.

  • Design evaluation interactions and evaluator-facing workflows that allow users and SMEs to score outputs, flag issues, compare variants, capture rationale, and feed lessons back into product and model improvements.<

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Company

Bristol Myers Squibb

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