AI Solutions Engineer, Senior

Realtor.com is looking for a Sr. AI Solutions Engineer to turn business challenges into practical AI solutions. You will collaborate with teams to uncover pain points, build rapid prototypes, and coach colleagues so they can extend what you start. Your work will span three of our internal AI tracks: Assist (knowledge copilots), Automate (workflow agents), and Compose (low-code apps). If you thrive on analyzing problems, building hands-on solutions, and teaching others, this role is for you. Join us as a our newest Sr. AI Solutions Engineer, and help change the world of real estate, one home at a time. 

Top Reasons to Apply: 

• Pioneer a first-of-its-kind role at Realtor.com – Shape the future of AI developer productivity by building the foundational systems, tools, and workflows from the ground up.
• Drive AI adoption and learning across the company – Help design, teach, and scale AI best practices that will empower teams across Product, Engineering, and Ops.
• Make a big impact while leveling up your own skills – Contribute meaningfully to Realtor.com's AI strategy and enjoy continuous learning opportunities in one of tech’s fastest-moving spaces.

What You'll Do: 

• Discover and design - Interview stakeholders, map workflows, estimate impact, and choose whether Assist, Automate, or Compose is the right fit, using discovery templates in Miro.
• Prototype Assist solutions - Stand up knowledge copilots with Glean Search and Assistant, Gemini for Workspace, or Ema, including prompt libraries and retrieval configs.
• Prototype Automate solutions - Build agentic workflows with Glean Agents, Ema, Retool Agents, Vertex AI Agent Builder, or Zapier AI actions, then harden the winners into production.
• Prototype Compose solutions - Create low-code apps with Copilot Studio visual flows, Retool UI builder, Vertex Agent Builder canvas, or Replit Agent chat-to-app, and hand off runbooks to business owners.
• Teach and evangelize - Produce AI flight-school decks, hands-on labs, prompt cheat sheets, and run office hours so PMs, analysts, and ops teams can build confidently.
• Measure and iterate - Track adoption, demo outcomes at town halls, and feed lessons into the next solution cycle.

What You'll Bring:

• Experienced in stakeholder discovery, process mapping, and turning requirements into clear AI use cases.
• Hands-on with Assist and knowledge retrieval tools such as Glean, Gemini, Copilot, or Ema and able to fine-tune retrieval settings.
• Comfortable with Automate tooling like Glean Agents, Vertex AI Agent Builder, Retool Agents, or Zapier AI and can chain steps across APIs.
• Proficient in Compose tooling such as Copilot Studio, Retool, Replit, or similar low-code builders, and eager to prototype.
• Skilled at crafting and refining LLM prompts, evaluating outputs, and explaining basics to newcomers.
• 3-5 years of experience with data and APIs (SQL, REST, JSON, CSV), and able to integrate them into AI workflows.
• Bachelor's degree in Computer Science/Engineering or related field or related experience
• Natural educator who has led workshops or produced self-serve guides that stick.
• Iterative by nature, quick to test, learn, and refine without needing a formal CS degree.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

How Success is Measured in Year 1: 

• Four Assist-track prompt libraries are relied on by at least 70 percent of their target users.
• Three Automate-track agents you built run daily and save teammates at least fifteen minutes each week.
• Product managers can create working Compose-track prototypes in under a day using the starter kit and templates you delivered.