Principal AI Engineer
Beckman Coulter Diagnostics (company site, opens in a new tab)14+ yrsBengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Define architecture and technical standards for enterprise AI solutions that transform R&D at Beckman Coulter Diagnostics.
- Design, build, and scale production-grade AI agents and Retrieval-Augmented Generation workflows to improve engineering and product development processes.
- Collaborate cross-functionally to prioritize and deliver AI solutions that measurably enhance productivity, product quality, traceability, and speed to market.
Minimum Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, AI, or related field.
- 14+ years of experience developing enterprise software solutions using Python, C#, Java, or similar languages in the medical device industry.
- Experience with AI applications using LLMs, agent frameworks, RAG architectures, vector databases, and cloud AI services (Azure AI, OpenAI, Anthropic, or equivalent).
- Ability to travel up to 25% domestic and international; valid driver’s license required; physical ability to lift/move up to 25lb.
Ideal Candidate Profile
- Senior individual contributor with deep expertise in AI architectures and enterprise-scale AI solution delivery within regulated industries like medical devices or diagnostics.
- Experienced in implementing responsible AI practices including governance, validation, security, observability, and model risk management.
- Operates effectively in cross-functional teams involving R&D, quality, regulatory, and technology to drive measurable impact on engineering workflows and product development.