Mattamy Homes Careers

At Mattamy Asset Management (MAM), everyone has an important role to play in our shared success. Developing thoughtfully planned communities is complex work and our diverse teams come together to deliver on that mission in every aspect. We are thoughtful planners, precise project managers and practiced subject matter experts. And in each area of our evolving business, we are trusted to drive results. Here, your opinion will be invited, and your contributions will count. You’ll be surrounded by caring people who encourage you to be exactly who you are. You’ll grow in your area of expertise, learning alongside committed colleagues. With a relentless focus on industry leadership and a deep commitment to sustainability, we’ve got big plans for the future – and for you.

Learn more about what makes working at Mattamy special and our award-winning culture.

What we offer

In this role, you’ll lead the design, build, and run of agentic AI solutions that change how a complex, enterprise-grade business operates. This role operates as part of Mattamy’s enterprise AI team, working closely with AI product leadership and platform teams as the AI capability scales. You’ll own the technical architecture for assigned AI solutions across RAG pipelines, LLM configuration, system integrations, and data flows, and you’ll contribute to the technical standards and reference patterns across internal and partner-led builds. This is an ideal opportunity for a senior AI engineer who wants end-to-end ownership — solution design through production run — and the chance to shape an AI program as it scales.

What you’ll do

• Lead the architecture and design of agentic AI solutions, including RAG pipelines, LLM configuration, prompt and tool design, system integrations, and end-to-end data flows
• Own technical quality and engineering standards across all AI builds, in alignment with the enterprise AI architecture and governance framework— code review, design review, evaluation criteria, and production readiness
• Write production-grade code as a hands-on contributor — prototype quickly, ship working solutions end-to-end, and stay close to the implementation details to make AI systems reliable
• Build and maintain core AI components hands-on — retrieval pipelines, agent orchestration, and integrations with enterprise systems and data sources
• Own production run of deployed AI solutions — observability, evaluations, incident response, and ongoing tuning for accuracy, latency, cost, and drift
• Establish and maintain architecture documentation, reference patterns, and runbooks so the program can scale across multiple concurrent builds
• Embed responsible AI practices into every build — data privacy, access controls, prompt and output safety, evaluation, and human-in-the-loop where it matters
• Partner with business, data, and platform teams to translate prioritized AI use cases into production-ready AI solutions that deliver measurable outcomes

What you bring

• 5+ years of software engineering experience, including 2+ years building production AI/LLM solutions, or an equivalent combination of education and experience
• Hands-on experience building on Azure AI Foundry (or equivalent) with OpenAI / Azure OpenAI and Anthropic Claude — prompt design, tool/function calling, structured outputs, and managing cost, latency, and token limits
• Proven experience designing and shipping RAG pipelines — chunking, embeddings, vector stores, hybrid retrieval, re-ranking, and grounding strategies that hold up in production

• Experience leading agent architecture — orchestration, tool use, multi-step reasoning, memory, and integration with enterprise systems and data sources
• Strong software engineering fundamentals — Python or TypeScript, APIs, version control (Git), CI/CD, and Agile delivery tools (e.g., Azure DevOps)
• Experience running AI solutions in production — evaluation frameworks, observability, regression testing, and tuning for accuracy, latency, and cost
• Working knowledge of responsible AI — data privacy and PII handling, access controls, prompt and output safety, bias and hallucination mitigation, and human-in-the-loop design
• Experience leading external delivery partners or vendor teams — setting technical direction, reviewing work, and signing off on quality, plus strong written and verbal communication with technical and non-technical audiences

Compensation

The expected base salary range for this position is $85,000 - $130,000. Actual pay may vary depending on your job-related knowledge, competencies, and skills. We recognize that exceptional situations may fall outside this range, and we encourage all interested candidates to apply.

You are also eligible to participate in Mattamy’s annual bonus program which gives you the opportunity to increase your total compensation if business and individual goals are achieved.

We encourage applicants who meet most of the role requirements to hit that submit button and apply! It’s okay if you don’t have 100% of the requirements. If you’re the right candidate, we’ll help you learn and grow.

Who we are

Mattamy Asset Management (MAM) is the parent company of Mattamy Homes Canada and Mattamy Homes U.S., which together make up the largest privately held homebuilding platform in North America.

Be yourself. We want it that way.

At Mattamy, we're passionate a​b​​out creating and promoting a diverse and inclusive environment where everyone ​can do their best work.  Diversity and inclusion are important to the work we do to support our homebuyers, colleagues, and communities. From how we build our teams to cultivating our leaders, we're on a journey toward a welcoming, barrier-free culture for everyone. ​​​​

Mattamy Asset Management is committed to providing accommodation for people with disabilities. If you require accommodation through any aspects of the selection process, please notify us on your application and we will work with you to meet your needs.

Mattamy companies may use artificial intelligence (AI) tools to support our hiring process, including to help screen or assess candidates along the way. These tools work behind the scenes, while people remain at the heart of every hiring decision.

Qualified applicants for this existing vacancy will be contacted directly by the Talent Acquisition team.