Senior Solutions Engineer

Working with UsChallenging. 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.Our TeamThe Digital Lab (Fusion Team) is a business-embedded team within Global Product Development & Supply (GPS). We sit inside the business — not IT — and our job is to rapidly translate operational challenges into working prototypes, analytical applications, and AI-powered tools. We work shoulder-to-shoulder with manufacturing, supply chain, quality, and product development stakeholders to accelerate data-driven decision-making.Position SummaryThe Digital Solutions Engineer is the person who makes it real. Data Products Engineers prepare the data. Data Scientists build the models. The UX Designer creates the experience. You wire it all together into a working application that a business user can actually use.This is a hands-on, full-stack engineering role for someone who thrives in ambiguity, moves fast, and measures success by whether a business user's problem got solved — not by whether the architecture is perfect. You'll build dashboards, AI-powered chat interfaces, visualization tools, and decision-support applications — often going from whiteboard to working prototype in days.Key Responsibilities:Build Applications That Deliver Business ValueTake data products, ML model outputs, and AI agent responses and turn them into interactive, user-facing web applications and prototypes.Design and build both the frontend experience and backend services needed to deliver a complete working solution.Build interfaces that consume AI/LLM outputs — including streaming responses, multi-step reasoning, and dynamically generated visualizations.Create intuitive user flows for human-in-the-loop workflows — feedback, validation, approvals.Move Fast and IterateOperate with a prototyping mindset — ship a working version quickly, put it in front of users, learn, iterate.Choose the right tool for each problem rather than defaulting to a fixed stack — the best framework is whichever one solves the problem fastest.Own your applications end-to-end — from frontend to backend to deployment.Collaborate Across the Digital LabPartner with Data Products Engineers on how data is shaped and delivered for application consumption.Work with Data Scientists to define how model outputs and AI agent responses are presented to users.Collaborate with the UX Designer to translate designs into functional, polished interfaces.Engage directly with business stakeholders to understand workflows, gather feedback, and validate that what you've built actually works for them.Keep It Production-Worthy (When It Needs to Be)Apply sound engineering practices — testing, version control, containerization, security basics — proportional to the maturity of each application.Know when a prototype should stay scrappy and when it needs to be hardened for broader use.Work with centralized IT teams for infrastructure, hosting, and production support when applications graduate beyond prototyping.Qualifications / EducationBachelor's or Master's degree in Computer Science, Software Engineering, or a related field.Experience & Skills Required5–10 years of hands-on full-stack software engineering experience with a track record of shipping working applications — not just contributing to large codebases.Strong frontend skills — modern JavaScript/TypeScript, component-based frameworks (React, Vue, or equivalent), responsive and accessible UI development.Strong backend skills — API design and development in Python or Node.js, database fundamentals, integration patterns.Experience building applications that consume and present data-heavy or AI/ML outputs — dashboards, real-time interfaces, data visualizations, or conversational UIs.Comfortable with the basics of DevOps — containerization, CI/CD, cloud deployment — enough to ship your own work without relying on a separate platform team.Excellent communication skills — you'll work directly with non-technical business stakeholders and need to understand their problems, not just their tickets.A builder's mindset — you default to "let me try something" over "let me write a spec." You're energized by ambiguity and speed.Preferred / Nice-to-HaveExperience with AI-powered applications — LLM-based interfaces, streaming AI responses, agent integrations.Experience in regulated industries — pharma, healthcare, life sciences.Familiarity with data engineering and data science workflows — understanding how data pipelines and models work, even if you don't build them yourself.Experience with rapid prototyping environments — startups, innovation labs, hackathons, or similar.What Sets This Role ApartYou're the person who makes it tangible. The team generates data products, models, and insights — you turn them into tools people actually use.Speed over polish. This is a prototyping lab, not an enterprise platform team. Ship fast, learn fast.Full ownership. Frontend, backend, deployment — you own the whole stack for your applications.AI-native. You'll build interfaces for agentic AI, streaming LLMs, and ML predictions — this isn't standard CRUD.Business-embedded. You see users use your work. You hear their feedback the same day. You