Drive an AI-first culture, manage AI costs, and build reusable patterns for code generation, PRs, testing, and debugging as a Senior AI Enablement Engineer.
Requirements
- 8+ years in platform engineering, DevOps, developer experience, or a closely related technical discipline.
- Demonstrated hands-on experience with LLM APIs and AI developer tooling in production or organizational contexts
- Experience evaluating, procuring, or governing AI/SaaS tools at an organizational level, including vendor assessment, license management, and cost governance.
- Strong Python skills for automation, tooling, and lightweight AI workflow and integration development.
- Practical, daily use of AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar) in your own engineering workflows.
- Experience designing developer workflows, internal platforms, or engineering self-service capabilities with a focus on adoption and usability.
- Solid AWS experience with familiarity with Bedrock, API Gateway, or equivalent managed AI and cloud services.
- Strong observability mindset with the ability to instrument AI tooling and workflows with meaningful metrics and usage signals.
- Infrastructure-as-code familiarity (Terraform, Helm) and experience working within GitOps and CI/CD environments, with GitLab CI preferred.
- Excellent communication and stakeholder management skills, with the ability to translate technical findings into clear recommendations for engineering leadership and business audiences.
Benefits
- Paid Time Off
- 401k Matching
- Tuition Reimbursement
