Generative AI Cloud Operations Engineer - Evinova

AstraZeneca · Gaithersburg, MD

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Role summary

Evinova seeks a Generative AI Cloud Operations Engineer to design and manage LLM-based agent deployments and conversational AI systems for clinical trial applications. The role bridges AI research and production-grade implementations within a regulated pharmaceutical environment, requiring expertise in cloud-native GenAI operations and AWS infrastructure.

What they're looking for

High school diploma or GED minimum
2+ years deploying and maintaining generative AI agents in production
Proficiency with LangChain, LangGraph, LlamaIndex, or comparable agentic frameworks
Strong experience with LLM evaluation and observability platforms like Arize Phoenix or Langfuse
Deep knowledge of production GenAI challenges: reliability, scalability, latency, cost optimization
Software engineering skills in Python and hands-on AWS cloud infrastructure experience
Understanding of regulated industry requirements including Good Clinical Practice standards

What you'll be doing

Design and implement resilient cloud GenAI operational capabilities optimizing system performance and cost efficiency
Develop and manage GenAI operations systems for clinical trial design, planning, and optimization
Integrate LLM proxies, routers, and RAG pipelines while monitoring token usage, latency, and response quality
Partner with AI Engineers and data scientists to transition research projects into production-grade agentic systems
Deploy and monitor GenAI agents using modern tools including LangChain, Langfuse, Splunk, and Grafana

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Date posted1 day ago

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