Field AI Engineer
Bristol Myers Squibb (company site, opens in a new tab)2–4 yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
Reach people at Bristol Myers Squibb
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Bristol Myers Squibb you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy AI/LLM-powered features for field users on Veeva Vault CRM, including conversational assistants and call note summarization.
- Develop and maintain AWS cloud-based data pipelines and integrations to supply trusted commercial data for AI applications.
- Evaluate AI models for quality and monitor production performance, applying responsible AI practices suitable for life sciences compliance.
Minimum Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- 2–4 years of IT experience in software development or data engineering with at least 1 year hands-on building LLM/GenAI applications (production preferred).
- Strong skills in Python, SQL, AWS (Lambda, API Gateway, Glue, S3, EventBridge), and experience with LLM APIs and orchestration frameworks (e.g., LangChain).
- Work Experience Required: 2–4 years in software or data engineering with at least 1 year in applied LLM/GenAI development.
Ideal Candidate Profile
- Experienced engineer with a product mindset focused on delivering usable AI solutions validated by field user feedback.
- Familiar with AI retrieval architectures like RAG and vector search, and observability metrics including hallucination rate and latency.
- Comfortable working in regulated life sciences/commercial environments and capable of collaborating with diverse stakeholders including security, governance, and product teams.