Director of AI

Ludia Consulting

. Lead Ludia's internal AI strategy, roadmap, policy, governance, platform register, and AI budget .

Posted 9/23/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading AI strategy, architecture, and governance while effectively managing AI teams and projects. Proficient in developing and deploying AI solutions, ensuring security and compliance, and driving AI literacy across organizations.

Highest-signal resume keywords

AI Strategy LeadershipC#/.NET, Python, TypeScript DevelopmentDynamics 365 ExpertiseAI Security and GovernanceMicrosoft AI Certifications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureAI ImplementationSoftware DevelopmentData Residency ManagementTelemetry and MonitoringRAG PipelinesHuman-in-the-Loop ControlsMulti-Agent OrchestrationEvaluation and TestingIncident Management

Soft Skills

Communication with ExecutivesMentoring EngineersChange LeadershipCustomer Feedback ManagementTraining and Teaching

Tools & Technologies

Azure AI SearchCopilot StudioMicrosoft FoundryPower PlatformDataverseAzure DevOpsGitHubMicrosoft 365 CopilotSemantic KernelAutoGen

Certifications & Qualifications

Microsoft AI CertificationsAI Agent Builder Associate (AB-620)Azure AI Engineer Associate (AI-102)

Industry Keywords

AI GovernanceISO/IEC 42001US State AI RulesEU AI RulesPhysical Operations Verticals

Tech Stack

Tools & technologies

AzurePythonTypeScript.NET

About the role

Key responsibilities & impact

Lead Ludia's internal AI strategy, roadmap, policy, governance, platform register, and AI budget
Lead the Ludia Labs AI engineering team and all Customer AI Implementation projects
Report to the Chief Operations Officer; meet with the CEO monthly and AI Steering Committee quarterly
Build, review, and ship AI agents, copilots, accelerators, and customer AI solutions into production
Define AI architecture, development standards, prompt and grounding practices, evaluation, testing, security, and definition of done
Build shared SDKs, templates, reusable components, RAG pipelines over Azure AI Search, evaluation harnesses, CI/CD, and observability using Azure DevOps or GitHub
Operate AI production foundations including telemetry, monitoring, ALM, human-in-the-loop controls, and responsible-AI guardrails
Choose development platforms and make build-versus-buy decisions across Copilot Studio, Microsoft Foundry, and Microsoft Agent Framework
Identify, prioritize, pilot, measure, scale, or terminate automation opportunities across Operations, Delivery, Sales, Marketing, and Talent
Build, version, document, support, and deploy Ludia Labs accelerators for customer projects
Lead AI security, incident processes, access controls, data residency, audit trails, prompt-injection defense, and content safety
Drive AI literacy through training, office hours, hands-on sessions, demos, and mentoring
Serve as primary point of contact for AI products and customers, manage escalations, resolve issues, and share customer feedback
Maintain 50% billable utilization and identify account expansion opportunities with Sales
Represent Ludia in executive briefings, steering committees, and quarterly business reviews

Requirements

What you’ll need

10+ years in AI, data, or solution architecture roles, with at least 3 of those years leading an AI team, practice, or capability
A degree in Computer Science, Information Systems, or a related field, or equivalent hands-on experience
A track record of shipping AI agents and copilots into production, with real users and measurable value behind them
Deep, hands-on knowledge of Dynamics 365, including Sales, Customer Service, Field Service, and Finance & Supply Chain, plus Power Platform and Dataverse
Ability to write code and build agents using C#/.NET, Python, or TypeScript
Hands-on command of Copilot Studio, Microsoft 365 Copilot extensibility and declarative agents, Microsoft Foundry, Azure OpenAI, and Azure AI Search
Fluency with RAG, grounding, multi-agent orchestration, evaluation, human-in-the-loop, and telemetry
Experience with Semantic Kernel, AutoGen, or Microsoft Agent Framework, and protocols such as MCP and A2A
Experience owning an AI acceptable-use policy or governance program and AI budget in a company handling client data
Experience with AI security and responsible AI, including access controls, data residency, audit trails, prompt-injection defense, content safety, Entra ID, DLP, environments, and ALM
Working knowledge of Microsoft Fabric, Dataverse, and Power Platform
Ability to communicate with executives, lead change, teach, mentor engineers, and raise AI literacy
Preferred: experience in Physical Operations verticals and Dynamics 365, especially F&SC, Customer Engagement, and Field Service
Preferred: Microsoft AI certifications, especially AB-731 and AB-100
Preferred: experience building reusable accelerators, IP, or marketplace solutions
Preferred: familiarity with ISO/IEC 42001 or comparable AI management standards and US state and EU AI rules
Desirable: AI Agent Builder Associate (AB-620) or Azure AI Engineer Associate (AI-102)
Ability to travel occasionally within the United States for Microsoft, client, or industry events

Benefits

Comp & perks

100% Remote
Unlimited PTO
Companywide time off at the end of the year
Full health, vision, and dental benefits
401K
Work directly with Microsoft's engineering and FastTrack teams
Opportunity to build and lead Ludia's AI capability and the Ludia Labs accelerator portfolio
...and more!