As a Sr. Staff AI Engineer, you will design and build the high-performance software foundation that powers the enterprise, specifically focusing on the Context Layer for next-generation Agentic AI workflows. You will solve hard-tech problems like real-time data orchestration, automated metadata evolution, and multi-cloud compute optimization, and set the gold standard for code quality, CI/CD, and system design across the organization.
Requirements
- Expert Software Engineering: 15+ years in software engineering.
- Deep experience building extensible frameworks, high-throughput APIs, and libraries used by other developers.
- Hands-on experience with the latest trends in agent development, such as Multi-Agent Orchestration and the transition from static RAG to Agentic RAG.
- Knowledge of the Model Context Protocol (MCP) and other emerging standards that allow AI agents to interact with diverse data sources and tools in a plug-and-play manner.
- Experience building "AI-native" CI/CD features, such as automated LLM-based evaluations and Automated Root-Cause Analysis for system failures.
- Understanding of how to build automated workflows that pause agent actions for human approval, ensuring safety and governance for autonomous systems.
- Expert-level experience with GitOps workflows, Terraform, and designing complex pipelines that integrate automated testing, security scanning, and deployment gates for high-availability systems.
- Experience with OpenTelemetry (OTel) to build deep visibility into distributed systems.
- Deep proficiency in navigating and configuring the AWS and Azure Management Consoles.
- Proven ability to build platform layers that bridge AWS and Azure, allowing for seamless deployment and management across a multi-cloud environment.
- Experience using cloud-native tools to manage platform health, security posture, and spend at an enterprise scale.
- A proven track record of "leading by influence"—driving adoption of new technologies across multiple autonomous teams.
- Ability to communicate complex architectural trade-offs to both C-suite executives and engineers.
- Bachelor’s or Master’s degree in Computer Science (Distributed Systems focus) preferred, or equivalent deep industry experience.
Benefits
- Health, dental and vision insurances
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
