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Senior Frontend Engineer

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Bristol Myers Squibb
Full Time position
Listed on 2026-05-27
Job specializations:
  • Software Development
    AI Engineer, Front End Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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.

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 Type Script 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.
  • Instrument user feedback, usage telemetry, and evaluation touchpoints so AI teams can learn where workflows succeed, fail, or need guardrails.
  • Contribute to Git Hub‑based CI/CD, build/release pipelines, environment configuration, and deployment support in partnership with platform teams.
Collaboration and Technical Leadership
  • Partner closely with product owners, scientists, business stakeholders, and engineers to translate ambiguous AI opportunities into usable product experiences.
  • Continuously refine frontend priorities and backlog items based on stakeholder feedback, performance results, and lessons learned during MVP development.
  • Provide technical coaching through code reviews, design reviews, architecture guidance, and pragmatic delivery standards.
  • Help communicate frontend trade‑offs clearly to technical and non‑technical stakeholders, especially when balancing speed, usability, risk, and enterprise readiness.
Qualifications & Experience
  • Bachelor's or higher degree in Computer Science, Engineering, Design Technology, Science, or a related field.
  • 5+ years of experience in frontend engineering, or full‑stack engineering with strong frontend depth,…
Position Requirements
10+ Years work experience
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