Senior Engineer, AI

Carrington Holding Company, LLC

. Define, document, and govern the secure-by-default foundation for the company's AI program .

Posted 9/17/2026full-timeRemote • California • United StatesSenior💰 $117,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and governing secure AI workloads on Microsoft Azure, with a strong focus on compliance, risk management, and technical documentation. Proficient in implementing identity and access architectures and establishing end-to-end AI governance frameworks.

Highest-signal resume keywords

Microsoft Azure ArchitectureAI Workload GovernanceDeep Azure Security ExpertiseMicrosoft Entra ID ImplementationProduction AI Workload Deployment

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Hard Skills

AI Workload ArchitectureMicrosoft AzureModel Context Protocol (MCP)Azure AI FoundryNIST AI RMFISO/IEC 42001Azure AI SearchRetrieval-Quality EvaluationMicrosoft PurviewCustom Azure Policy

Soft Skills

Strong Written CommunicationProblem-SolvingAnalytical SkillsTechnical DocumentationCollaboration

Tools & Technologies

Microsoft Entra IDRBACKey VaultDefender for CloudManaged Identities

Certifications & Qualifications

AI-102AZ-305SC-100

Industry Keywords

AI GovernanceData PrivacySecurity StandardsExecutive ReportingRisk Classification

Tech Stack

Tools & technologies

AzureCloudVault

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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