Base: $134,866.40 to $202,299.60; bonus/equity: sh...
Hybrid
Generative ai agent deployment
Aws services and containerization
Infrastructure-as-code and ci/cd
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.
Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
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 to $202,299.60; Bonus/Equity: short-term incentive bonus, equity-based long-term incentive; Benefits: 401(k) plan, paid vacation and holidays, paid leaves, health benefits
Skills & Requirements
Must-have
Generative AI agent deployment
AWS services and containerization
infrastructure-as-code and CI/CD
RAG pipeline optimization and scaling
foundation model platforms
Nice-to-have
collaborative culture
knowledge-sharing and innovation
disruptive and decisive
customer-obsessed and passionate
inclusive team culture
Key Requirements
Minimum of 2 years deploying Generative AI agents
Deep understanding of Generative AI challenges
Expert in LLM evaluation tools
Expert in CDK for Python/TypeScript
Strong software engineering abilities in Python/TypeScript
Experience deploying GenAI agents with frameworks
Ability to collaborate effectively with cross-functional teams