Staff AI Corporate Engineer

Role Description

We are seeking a Corporate AI Engineer to join our Business Technology team with a specialized focus on enterprise AI enablement and infrastructure. In this role, you will:

• Design and operate the internal software factory that empowers employees to build, test, and publish AI agents.
• Manage the hosting infrastructure for AI-generated web experiences.
• Help define and enforce company-wide AI standards.
• Own the core AI infrastructure layer, covering usage analytics, spend governance, settings configuration, and model management.
• Be the connective tissue between cutting-edge AI tooling and every internal team that depends on it.

Key Responsibilities

• Corporate AI Software Factory
  • Design, build, and maintain the internal developer platform that enables employees to create, test, and publish AI agents and automated workflows.
  • Develop self-service tooling, templates, and scaffolding so non-engineering teams can safely deploy AI-powered applications.
  • Own the CI/CD pipelines specific to AI agent delivery, ensuring repeatable, auditable, and secure release processes.
  • Build and manage hosting infrastructure for AI-generated and AI-assisted web pages and internal portals.
• AI Standards & Governance
  • Establish guardrails for model access, data handling, prompt safety, and output validation across internal AI deployments.
  • Act as an internal subject-matter expert and advisor, educating teams on best practices for responsible AI integration.
  • Maintain a living AI standards playbook, updated as models, regulations, and organizational needs evolve.
• AI Infrastructure & Platform Engineering
  • Own and operate the company's central AI infrastructure layer, including usage dashboards, spend tracking, and budget alerting.
  • Manage model configurations, API gateway settings, rate limits, and version-management across multiple AI providers.
  • Implement observability tooling (logging, tracing, cost attribution) for all AI workloads to provide clear visibility to stakeholders.
  • Evaluate and onboard new AI models, tools, and providers, managing the full lifecycle from pilot to production.
  • Design and maintain the MCP (Model Context Protocol) server ecosystem, enabling structured tool-use and agent-to-service integrations.
• Internal User Enablement
  • Partner with business units to identify AI automation opportunities and translate them into production-ready tooling.
  • Provide technical support, documentation, and training to internal builders using the AI platform.
  • Maintain developer documentation, runbooks, and onboarding guides for the corporate AI ecosystem.

Qualifications

• 3–6 years of software engineering experience in a corporate or enterprise environment.
• Hands-on experience with AI ecosystem enablement, including one or more of: Claude (Anthropic), OpenAI Codex / GPT APIs, AI agent frameworks, and MCP (Model Context Protocol) integrations.
• Proficiency building and operating internal developer platforms, software factories, or CI/CD infrastructure.
• Experience with cloud infrastructure (AWS, Azure, or GCP), container orchestration (Kubernetes/Docker), and infrastructure-as-code (Terraform or similar).
• Solid understanding of API gateway patterns, rate limiting, authentication/authorization (OAuth2, API keys, RBAC).
• Demonstrated ability to translate governance requirements (security, compliance, policy) into technical controls.
• Strong communication skills — able to write clear documentation and present technical concepts to non-technical stakeholders.

Preferred Qualifications

• Direct experience with Anthropic Claude APIs, Claude.ai for Teams/Enterprise, or building Claude-powered agents.
• Familiarity with MCP server development and integration patterns for agentic tool-use.
• Exposure to AI model management lifecycle: fine-tuning, evaluation, versioning, and rollback strategies.
• Experience with observability stacks (Datadog, Grafana, OpenTelemetry) applied to LLM / AI services.
• Prior role as an internal platform or DevOps engineer supporting developer communities.

AI Ecosystem Familiarity (Desired)

• Candidates should have working knowledge of — or be eager to rapidly develop expertise in — the following technologies:
  • Claude (Anthropic) — API usage, prompt engineering, Claude.ai Enterprise administration.
  • MCP (Model Context Protocol) — server authoring, tool definitions, agent-to-service wiring.
  • OpenAI Codex / GPT APIs — integration patterns, function calling, fine-tuning pipelines.
  • AI Agents & Orchestration — multi-step reasoning agents, tool-use loops, agentic workflows.
  • OpenClaw — open-source AI tooling and interoperability frameworks.

Benefits

• To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian.
• A smart, fun, collaborative, and inclusive team.
• Great employee benefits, including equity and 401K.
• Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team.
• An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time.