Sr. Staff AI Engineering

Sr. Staff AI Engineer

This team does not currently have dedicated AI Engineers, so this person will come in as one of the highest-level individual contributors on the AI side. The role is highly hands-on, but also requires leadership and cross-functional influence.

You'll partner closely with leadership and business teams to design and build scalable AI capabilities across the organization — helping connect systems, workflows, and teams into practical AI-driven solutions.

This is not a pure research role. They need someone who can actually build, operationalize, and scale AI products in production environments.

What They're Looking For

• Strong hands-on engineering background with deep AI experience

• Someone who has successfully implemented AI solutions in enterprise environments

• Experience building and operationalizing AI agents, LLM workflows, and intelligent systems

• Comfortable working closely with AI architects while owning execution and delivery

• Able to work independently without heavy direction

• Strong understanding of governance, controls, and responsible AI practices

• Focused on making AI productive and usable within the business

Must-Have Experience

• 10 years of software engineering experience

• 3–5 years focused on AI/ML, intelligent systems, or data-intensive applications

• 2–3 years delivering AI/ML solutions in AWS environments

• Strong Python development experience

• Experience with AWS AI services including Bedrock, SageMaker, and serverless architectures

• Experience with enterprise LLM systems, including:

  • RAG architectures

  • Vector databases/search

  • Prompt engineering

  • LLM evaluation and integrations

• Experience building and deploying AI agents / agentic workflows

• Experience integrating with enterprise platforms like Workday and ServiceNow

• Understanding of governance, observability, metadata, lineage, and access controls

• Experience working with unstructured data and document intelligence solutions