Role OverviewThe role is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. The engineer owns outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.
What You Will Do
Lead enterprise AI platform deployments across complex multi-stakeholder client environments, owning the full program from architecture through adoption. Own program-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached.
Why It Might Be a Fit
The role requires a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. The engineer will help shape the playbook for how enterprises adopt and scale AI-native engineering globally.
Requirements
- Minimum of 10 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
- Minimum of 1 years of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
- Minimum of 2 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
- Minimum of 10 years of experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
- Minimum of 10 years of experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
- Minimum of 10 years of experience in client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
- Bachelor's degree in Computer Science, Engineering, or equivalent or (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience), AI certifications or agentic tool experience is a plus.
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
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