AI Engineer

Invitation Homes set out to solve a real problem: home leasing options were limited and the experience for renters was inconsistent. Today, as the nation’s largest single-family home rental company, our engineering teams build the technology at the center of that solution: personalized resident experiences, service tools, and the operational systems that residents and associates depend on every day. When we ship, people feel it.

Invitation Homes set out to solve a real problem: home leasing options were limited and the experience for renters was inconsistent. Today, as the nation’s largest single-family home rental company, our engineering teams build the technology at the center of that solution: personalized resident experiences, service tools, and the operational systems that residents and associates depend on every day. When we ship, people feel it.
We’ve built an engineering culture that takes that responsibility seriously: collaborative teams, high standards, and a genuine investment in the people around you. Great software is built by engineers who are supported, growing, and proud of what they ship. This role maps to what many organizations call a Staff Software Engineer, where deep technical expertise and cross-team influence come together. You’ll move where the need is greatest: embedding with teams to solve their hardest problems while building the shared standards, tools, and practices that lift every team.

You’ll remain a hands‑on engineer throughout, but your reach is the whole department, not a single team.
Our Staff AI Engineer is a new role created to help accelerate our organization’s AI journey, improving the quality of life for our associates, especially our software engineers, who use AI every day to write, test, and deploy. We have an immediate need to expand our agentic AI capabilities, which this role will have a direct impact on.
From here, you’ll have a clear path to Principal Engineer, where your impact expands to the full engineering organization and shapes its long‑term technical direction.

• Remain a hands‑on engineer: write code, contribute to architectural decisions, and ship; your technical credibility is the foundation of your influence.
• Embed with teams as a focused technical resource: accelerate delivery, address deep technical challenges, mentor engineers, and transition out once the team is unblocked and empowered.
• Take ownership of the hardest technical AI decisions facing the teams you support; provide the clarity and decisiveness that enables teams to move forward.
• Leave behind clear artifacts (documentation, diagrams, utilities, or design patterns) that continue to support the team after you move on.
• Identify AI related patterns and shared needs across teams; you’ll surface them into the shared AI platform and contribute directly to its growth.
• Set and drive engineering standards that allow our coding agents to elevate code quality, reliability, and maintainability across the department.
• Build and ship production‑grade backend services that power AI‑driven features residents and associates rely on.
• Apply AI to modernize and automate operational workflows across a 100,000+ home portfolio.
• Tune prompts, reasoning chains, and retrieval strategies including RAG/LLM as Wiki against Invitation Homes data.
• Own observability of AI systems in production: monitor performance, safety, and cost across LLM‑driven features.

• Serve as an authority and mentor across core AI technologies and architectural patterns used throughout the organization.
• Shape architectural decisions with a long‑term, strategic mindset: optimizing for agentic scalability, maintainability, and alignment with business goals.
• Apply core engineering principles to navigate unfamiliar technologies with confidence; adapt and operate effectively across varied tech stacks.
• Maintain a broad understanding of engineering workflows, standards, architectural decision records (ADRs), and the system landscape to provide relevant context and promote alignment across teams.
• Build reference implementations of agentic use cases: prompt engineering practices and use‑case…