Senior Engineer, AI

🔥 10 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $117k - $150k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Carrington Holding Company, LLC

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

🏠 Real Estate

💸 Finance

🤝 B2B

Real Estate • Finance • B2B

Carrington Holding Company, LLC is a diversified residential real estate and mortgage services platform that provides end-to-end homeownership solutions. It operates retail, wholesale and correspondent mortgage lending channels (including products for borrowers with lower credit or down payments), mortgage loan servicing (including large Ginnie Mae servicing balances), real estate brokerage (Vylla Home), title and escrow services, foreclosure trustee services, property/asset management, and alternative asset management through Carrington Capital Management. The firm also pursues acquisitions and partnerships to expand its servicing and retail capabilities and offers technology-driven tools to support borrower communications and servicing operations.

📋 Description

• Define, document, and govern the secure-by-default foundation for the company's AI program • Design and document secure-by-default reference architecture for AI workloads on Microsoft Azure • 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 covering intake, risk classification, audit trails, and executive reporting • Define security standards for MCP servers and curate the approved tool library • Design enterprise landing-zone and Well-Architected patterns for AI, including management structure, policy guardrails, networking, and cost/quota strategy • Implement identity and access architecture using Microsoft Entra ID, RBAC, managed identities, and conditional access • Define retrieval and data architecture patterns including RAG, Azure AI Search, embeddings, chunking, and retrieval-quality evaluation • Apply Microsoft Purview, custom Azure Policy, and Defender for Cloud to AI workloads • Document every production AI workload, including ownership, models, data, controls, evaluation, and runbooks • Author architecture decision records, architecture briefs, and board-ready risk language • Partner with engineering to onboard teams to the reference architecture and tool library and review designs for security and compliance • Stay current with Azure AI, agent frameworks, and AI governance standards • Provide technical leadership and mentorship across the AI program • Ensure compliance with data privacy, security, and AI governance requirements

🎯 Requirements

• Bachelor's in Computer Science, Engineering, or equivalent experience required • 10+ years of professional software engineering and architecture experience • 5+ years of experience with Microsoft Azure • 2+ years architecting production AI / LLM workloads required • Experience architecting and shipping production AI workloads on Azure AI Foundry • 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 (MCP) server architecture • 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 RAG, Azure AI Search, embeddings, and retrieval-quality measurement experience • Experience applying Microsoft Purview, custom Azure Policy, and Defender for Cloud to AI workloads • Strong written communication for executive audiences and ability to work across legal, risk, and executive stakeholders • 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 all organizational levels on AI capabilities, governance, and business processes • Ability to analyze complex data and compose detailed reports, business requirements, technical documentation, and presentations • Microsoft Azure certifications such as AI-102, AZ-305, or SC-100 highly desirable • Public artifacts such as reference architectures, technical writing, or talks are a plus

🏖️ Benefits

• Comprehensive healthcare plans for you and your family • Discretionary 401(k) match of 50% of the first 4% of pay contributed • Fitness, restaurant, retail, and other discounts through the employee portal • Customized training programs • Employee referral bonuses • Educational reimbursement • Carrington Charitable Foundation community programs