Generative Ai Cloud Operations Engineer - Evinova

Evinova

Gaithersburg, MD, US
Base: $134,866.40 - $202,299.60; bonus/equity: sho...
Hybrid
Deploying generative ai agents
Llm-based applications
Aws services and containerization
At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe

Job Summary

  • At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.
  • The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is a newly formed platform team that will spearhead the design, creation, and operational excellence of our LLM-based agent deployments, multi-agent orchestration, and conversational AI systems pipelines to catalyze and accelerate science led innovations.
  • The annual base pay for this position ranges from $ 134,866.40 to $ 202,299.60.

Matching Summary

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.

Salary

Base: $134,866.40 - $202,299.60; Bonus/Equity: Short-term incentive bonus opportunity, equity-based long-term incentive program; Benefits: 401(k) plan, paid vacation and holidays, paid leaves, medical, prescription drug, dental, and vision coverage

Skills & Requirements

Must-have

  • Deploying Generative AI agents
  • LLM-based applications
  • AWS services and containerization
  • Python/TypeScript software engineering
  • RAG pipeline optimization
  • Foundation model platforms

Nice-to-have

  • Collaborative culture
  • Ambitious thinking and innovation
  • Customer-obsessed and passionate
  • Highly organized and detail-oriented
  • Thoughtful risks and quick decisions

Key Requirements

  • Minimum of 2 years deploying Generative AI agents
  • Deep understanding of Generative AI challenges
  • Expert in LLM evals tools
  • Expert in CDK for python/TypeScript
  • Proven track record of deploying ML models

Work Rights

Not specified

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