Full Stack AI Engineer

Position Summary

We are seeking a Manager, Full Stack Engineer to serve in an AI-first, agile product team supporting Global Development Operations (GDO).

Specific Responsibilities

• Accountable for the build, operation, and continuous improvement of AI-native applications and platforms, including bespoke solutions and AI-enabled SaaS, with AI as the default design paradigm.
• Partner with product managers and GDO stakeholders to identify opportunities where AI can augment human decision-making, automate execution, and create step-change improvements in clinical and operational workflows.
• Design, develop, and maintain secure, scalable applications using Python/Java/Node JS/React JS.
• Build applications on the Salesforce platform.
• Design and operate LLM-native and agentic systems as long-lived products, incorporating human-in-the-loop patterns, continuous learning, monitoring, and governance as part of the standard operating model.
• Frameworks include OpenAI, AWS Bedrock, and LangChain.
• Incorporate microservices, APIs, MCPs, event-driven processes, and middleware within enterprise systems.
• Implement CI/CD practices for software applications.
• Monitor model performance in production and manage model drift, retraining, and rollback strategies.
• Ensure compliance with data governance, privacy, and security standards.

Requirements

• Must have a minimum of 5 years of strong experience in software engineering; Pharma/Life Sciences experience is a plus.
• Must have Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Should have a demonstrated track record implementing moderately complex technical solutions, developing software applications following SDLC processes in a regulated environment.
• Practical experience building Generative AI and Agentic AI applications using tools like LangChain, LlamaIndex, Google ADK, etc.
• Strong proficiency in Python and React; Java or TypeScript familiarity.
• Solid grasp of REST APIs, MCPs, FastAPI, and JSON/XML and knowledge about TensorFlow or PyTorch.
• Experience with AWS Cloud services such as Lambda, S3, DynamoDB, Bedrock, SageMaker.
• Strong data analytics skills - SQL/NoSQL databases, able to write efficient queries.
• Excellent problem-solving and analytical skills.
• Must be a relationship builder and capable of working effectively in a highly matrix organization with strong communication, planning, and collaboration skills.
• Strong technical expertise, leadership skills, and a passion for delivering high-quality, reliable solutions.
• Must possess excellent written and verbal skills and demonstrate an ability to effectively communicate at all levels of the organization.

Benefits

• 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, 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.