Engineer, AI, Senior

Demonstrated experience architecting and shipping production AI workloads on Azure AI Foundry, including model deployment, evaluation, and monitoring.

Deep Azure security architecture expertise — private endpoints, managed identities, Key Vault, network isolation, and data-exfiltration controls for AI services — defensible at a whiteboard.

Experience building or operating an AI governance framework end-to-end, with concrete application of NIST AI RMF or ISO/IEC 42001.

Hands-on Model Context Protocol (MCP) server architecture — tool surface design, authentication, transport, and least-privilege reasoning — not solely consumption of MCP tools.

Enterprise landing-zone and Well-Architected experience for AI workloads at scale, including subscription/management-group design, policy guardrails, and cost/quota strategy.

Identity and access mastery: Microsoft Entra ID, RBAC, managed identities, conditional access, and on-behalf-of flows for agentic applications.

Retrieval and data architecture: production RAG, Azure AI Search, embeddings, and retrieval-quality measurement.

Governance tooling applied specifically to AI: Microsoft Purview data classification, custom Azure Policy, and Defender for Cloud posture management.

Strong written communication for executive audiences — ADRs, architecture briefs, and risk language — and the ability to operate across legal, risk, and executive stakeholders.

Excellent problem-solving, analytical, and communication skills, including the ability to document complex technical work clearly.

Self-motivated, critical thinker able to lead architecture and governance workstreams to delivery in a small, high-ownership team.

Ability to interact with all levels of the organization as an adviser on AI capabilities, governance, and business processes, and to make sound decisions that have significant impact on business operations.

Ability to analyze and interpret complex data, and to compose detailed reports, business requirements, technical documentation, and group presentations.

Bachelor's in Computer Science, Engineering, or equivalent experience required.

10+ years of professional software engineering and architecture experience, with a strong track record of delivering and operating production systems at enterprise scale.

5+ years of experience with Microsoft Azure required.

2+ years architecting production AI / LLM workloads required; hands-on experience with Azure AI Foundry strongly preferred.

Demonstrated experience designing AI governance frameworks (NIST AI RMF or ISO/IEC 42001) and secure Azure architecture strongly preferred.

Microsoft certifications such as Azure AI Engineer Associate (AI-102), Azure Solutions Architect Expert (AZ-305), or Cybersecurity Architect Expert (SC-100) are highly desirable.

Public artifacts — reference architectures, technical writing, or talks — are a plus.

Carrington Mortgage Holdings is a holding company whose primary businesses include asset management, mortgages, real estate transactions and real estate logistics. Collectively, the businesses are vertically and horizontally integrated, and provide a broad range of real estate services encompassing nearly all aspects of single-family residential real estate transactions in the United States. Guided by a leadership team with a wealth of industry experience and guided by a consistent philosophy, Carrington maintains the necessary infrastructure to ensure stability and maximize value during any market cycle. We hope you’ll consider joining our growing team of uniquely talented professionals as we transform residential real estate. To read more visit: www.carringtonhc.com .