Engineer, AI, Senior

Posted 5 Hours Ago
Hiring Remotely in Aliso Viejo, CA, USA
In-Office or Remote
117K-150K Annually
Senior level
Fintech • Payments • Financial Services
The Role
Designs and governs secure-by-default AI architecture on Microsoft Azure. Responsibilities include operating Azure AI Foundry workloads, creating AI governance aligned with NIST AI RMF and ISO/IEC 42001, securing MCP servers, developing landing-zone and identity patterns, implementing RAG and data architectures, applying Azure governance tools, documenting production systems, advising executives, reviewing engineering designs, and mentoring teams.
Summary Generated by Built In

Come join our amazing team and work from home !

Responsible for defining, documenting, and governing the secure-by-default foundation on which the company's AI program operates. This is a hands-on architecture role: designing the reference architecture for AI workloads on Microsoft Azure, establishing the AI governance and oversight model, documenting the systems already in production, and curating the reusable library of approved tools and Model Context Protocol (MCP) servers that the rest of the organization builds on. Perform all duties in accordance with the company's policies and procedures, and all US state and federal laws and regulations, wherein the company operates. The target pay range for this position is $117,000 to $150,000 .

What you’ll do:

  • Design and document the secure-by-default reference architecture for AI workloads on Microsoft Azure, including identity, network isolation, secrets management, data boundaries, monitoring, and audit.

  • Architect and operate production AI workloads on Azure AI Foundry, including model deployment, evaluation, and monitoring.

  • Establish and operate an end-to-end AI governance framework — intake, risk classification, audit trail, and executive reporting — aligned to NIST AI RMF and ISO/IEC 42001.

  • Define the design and security standard for Model Context Protocol (MCP) servers — authentication, transport, tool surface, least-privilege exposure, and audit — and curate the approved tool library.

  • Design enterprise landing-zone and Well-Architected patterns for AI — subscription and management-group structure, policy guardrails, networking, and cost/quota strategy for Azure OpenAI and Foundry.

  • Implement identity and access architecture using Microsoft Entra ID, RBAC, managed identities, and conditional access, including on-behalf-of flows for agentic applications.

  • Define retrieval and data architecture patterns — RAG, Azure AI Search, embeddings, chunking, and retrieval-quality evaluation.

  • Apply AI governance tooling — Microsoft Purview, custom Azure Policy, and Defender for Cloud — to AI workloads for data classification and security posture management.

  • Document every AI workload in production — ownership, model, data, controls, evaluation, and runbook — so the platform is survivable and can be safely handed off.

  • Author architecture decision records (ADRs), architecture briefs, and board-ready risk language for executive, legal, and risk stakeholders.

  • Partner with the engineering team to onboard them against the reference architecture and tool library, and review designs for security and compliance.

  • Stay current with advancements in the Azure AI platform, agent frameworks, and AI governance standards, and apply this knowledge to improve our foundation.

  • Provide technical leadership and mentorship across the AI program.

  • Ensure compliance with data privacy, security, and AI governance requirements.

What you’ll need:

  • 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.

Our Company:

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.

What We Offer:

  • Comprehensive healthcare plans for you and your family. Plus, a discretionary 401(k) match of 50% of the first 4% of pay contributed.
  • Access to several fitness, restaurant, retail (and more!) discounts through our employee portal.
  • Customized training programs to help you advance your career.
  • Employee referral bonuses so you’ll get paid to help Carrington and Vylla grow.
  • Educational Reimbursement.
  • Carrington Charitable Foundation contributes to the community through causes that reflect the interests of Carrington Associates. For more information about Carrington Charitable Foundation, and the organizations and programs, it supports through specific fundraising efforts, please visit: carringtoncf.org.

California Privacy Notice:  https://oag.ca.gov/privacy/ccpa

Notice to all applicants: Carrington does not do interviews or make offers via text or chat

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
  • 10+ years of professional software engineering and architecture experience
  • 5+ years of experience with Microsoft Azure
  • 2+ years architecting production AI or LLM workloads
  • Experience architecting and shipping production AI workloads on Azure AI Foundry, including model deployment, evaluation, and monitoring
  • Deep Azure security architecture expertise, including private endpoints, managed identities, Key Vault, network isolation, and data-exfiltration controls
  • Experience building or operating an end-to-end AI governance framework using NIST AI RMF or ISO/IEC 42001
  • Hands-on Model Context Protocol server architecture experience, including tool surface design, authentication, transport, and least-privilege reasoning
  • Enterprise landing-zone and Well-Architected experience for AI workloads at scale
  • Expertise with Microsoft Entra ID, RBAC, managed identities, conditional access, and on-behalf-of flows
  • Production retrieval and data architecture experience with RAG, Azure AI Search, embeddings, and retrieval-quality measurement
  • Experience applying Microsoft Purview, custom Azure Policy, and Defender for Cloud to AI workloads
  • Strong written communication for executive audiences, including architecture decision records, architecture briefs, and risk language
  • Excellent problem-solving, analytical, communication, and technical documentation skills
  • Ability to lead architecture and governance workstreams in a small, high-ownership team
  • Ability to advise stakeholders across the organization on AI capabilities, governance, and business processes
  • Ability to analyze complex data and compose detailed reports, business requirements, technical documentation, and presentations
  • Azure AI Engineer Associate, Azure Solutions Architect Expert, or Cybersecurity Architect Expert certification
  • Public artifacts such as reference architectures, technical writing, or talks
  • Hands-on experience with Azure AI Foundry
  • Experience designing AI governance frameworks and secure Azure architecture
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The Company
HQ: Greenwich, CT
2,459 Employees
Year Founded: 2003

What We Do

Carrington Holding Company, LLC owns and operates multiple businesses that cover virtually every aspect of single family residential real estate transactions – investments in U.S. real estate and mortgage markets, loan origination and servicing, asset management and property preservation, real estate sales and rental, and title and escrow services. Carrington was initially founded in 2003. Since that time, Carrington Holding Company and the Carrington Family of Companies have evolved into a group of vertically integrated operating businesses that direct every aspect of the life cycle of single family assets. Its core capabilities include investment and fund management, residential mortgage special servicing and origination, property management and maintenance, and real estate sales and settlement services. Guided by a leadership team with an average of three decades of industry experience and adhering to a consistent philosophy, Carrington has built the infrastructure necessary to maximize value during any market cycle. Build your career with Carrington Holding Company. We offer: • An innovative environment • Management growth potential • Regular communication and training • Superior benefits package • An environment that encourages growth and development of its employees • Philanthropic opportunities to help the community through Carrington Charitable Foundation Learn more about the opportunities at Carrington Holding Company: • Email: [email protected] • Website: Carringtonhc.com • Main: 949.517.7100 • Media: 866.289.4147

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