AI Platform Engineer

About Eleven Recruiting

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for the best pay, diversity in tech, and the best job fit for every candidate we place.

Our client, a global private equity firm, is seeking an AI Platform Engineer to join their team in San Francisco, CA!

As AI Platform Engineer, you step into a greenfield environment with full ownership: design the platform, architect the infrastructure, establish governance, and run it.

Responsibilities

Build the Platform

• Design, architect, and deploy the firm's AI development environment — dev, UAT, and production-safe rollout infrastructure built from the ground up.
• Establish the DevOps foundation: CI/CD pipelines, environment governance, deployment workflows, and release management.
• Assess the firm's current Azure environment and architect it forward to support AI engineering at scale.
• Implement guardrails and governance frameworks that keep production secure while enabling AI experimentation.

Own Claude Code

• Serve as the firm's platform owner for Claude Code: managing access, environment configuration, and ongoing optimization.
• Establish and own the code review and approval process for all AI-assisted and vibe-coded work submitted by the broader team.
• Partner with the AI group as their primary infrastructure resource: translate their requirements into reliable, governed environments.

Enable AI Engineering Across the Firm

• Design, build, and deploy AI-enabled solutions tied to prioritized business use cases.
• Implement AI workflows, integrations, and automations across enterprise platforms including Microsoft 365, Box, and DealCloud; using tooling from Anthropic, OpenAI, and others.
• Translate architectural designs and business requirements into working AI solutions, including prompt engineering and orchestration logic.
• Integrate AI solutions with enterprise data sources, ensuring data quality, accuracy, and appropriate access controls.

Drive Governance & Operational Readiness

• Partner with Security, Privacy, and IT to ensure all AI solutions meet enterprise governance, risk, and compliance standards.
• Own operational readiness: monitoring, logging, performance tuning, and ongoing optimization.
• Develop and maintain technical documentation, runbooks, and reusable implementation patterns.
• Serve as a key voice across IT, AI, cybersecurity, and vendor relationships including Anthropic and Microsoft.

Required Qualifications

• Proven platform engineering, DevOps, or infrastructure experience, with a track record of building environments, not just inheriting them.
• Deep Azure expertise: you've assessed, architected, and scaled Azure environments in demanding organizations.
• Real, hands-on experience with Claude Code or equivalent AI developer tooling; you know how these systems work from the inside.
• Strong CI/CD and SDLC knowledge: pipelines, environment management, release governance, and developer workflow design.
• The communication range to lead stakeholder meetings, drive alignment across technical and non-technical teams, and document everything clearly.
• A builder's disposition: you don't hand off roadmaps — you own what you design and stay to see it through.

Preferred Qualifications

• Security background or security-first thinking; comfort working alongside cyber and compliance teams.
• Financial services or private equity experience.
• Familiarity with enterprise platforms: Microsoft 365, Box, DealCloud.
• Experience designing SDLC processes that satisfy enterprise security and governance requirements.

Salary: $225,000 - $275,000