Field AI Engineer
Bristol Myers Squibb (company site, opens in a new tab)2–4 yrsHyderabadOn-siteDirect career pageEst. 18–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI/LLM-powered features for Veeva Vault CRM field users, including assistants, summarization, and next-best-action recommendations.
- Build and maintain AWS-based data pipelines and integrations with Vault CRM and commercial systems to provide clean, governed data for AI applications.
- Monitor AI application performance and implement responsible AI guardrails suitable for a regulated life sciences environment, continuously improving based on user feedback and data.
Minimum Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- 2–4 years of software development or data engineering experience including at least 1 year hands-on with LLM/GenAI application development (production or strong projects).
- Proficient in Python, SQL, AWS services (Lambda, API Gateway, Glue, S3, EventBridge), RESTful APIs, and frameworks like LangChain or similar for prompt engineering and tool/function calling.
- Work Experience Required: 2–4 years in relevant software/data engineering roles with GenAI experience; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Technical builder with a product mindset focused on shipping and iterating AI features with measurable user impact and adoption.
- Experience in cloud-based AI systems integrating LLMs with retrieval-augmented generation and orchestration frameworks in regulated/commercial environments.
- Comfortable bridging technical and non-technical stakeholders, translating ambiguous business problems into scoped AI solutions and iterating based on user feedback.