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Ludia Consulting

Director of AI

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 10 years in AI, data, or solution architecture roles, including at least 3 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.
  • Deep, hands-on knowledge of Dynamics 365, including Sales, Customer Service, Field Service, and Finance & Supply Chain, as well as the Power Platform and Dataverse.
  • Ability to write code and build agents using C#/.NET, Python, or TypeScript, and to set development patterns, standards, and review criteria.
  • Hands-on command of Copilot Studio, Microsoft 365 Copilot extensibility and declarative agents, Microsoft Foundry, Azure OpenAI, and Azure AI Search across vector, hybrid, and semantic retrieval.
  • Fluency with agentic patterns including retrieval-augmented generation, grounding, multi-agent orchestration, groundedness and traceability evaluation, human-in-the-loop controls, and telemetry; experience with Semantic Kernel, AutoGen, or the Microsoft Agent Framework, and protocols such as Model Context Protocol and Agent2Agent.
  • Experience owning an AI acceptable-use policy or governance program and an AI budget in a company handling client data, including explaining platform decisions to a CFO and data-handling practices to a client's security team.
  • Ownership of AI security and responsible AI, including access controls, data residency, audit trails, prompt-injection defense, content safety, and governance through Entra ID, DLP, environments, and ALM.
  • Working knowledge of Microsoft Fabric, Dataverse, and Power Platform as the data foundation for enterprise AI.
  • Ability to communicate with executives, lead change, and pair people effectively with technology.
  • Ability to run enablement, mentor engineers, and raise AI literacy across a services organization.

Responsibilities

  • Own Ludia's internal AI strategy and roadmap, aligning it with firm growth and how employees work.
  • Own the AI Policy and its amendment cycle, defining rules by system capabilities and data access rather than product names.
  • Manage the AI platform register, including approved platforms, permitted teams, and maximum data classifications; lead quarterly reviews and obtain approval before enabling increased capabilities.
  • Serve on the AI Steering Committee and operate the approval matrix, escalating autonomous activity or activity in client production environments for executive sign-off.
  • Own the AI budget for seats, licenses, Copilot and Foundry consumption, and model costs; report monthly spend to the CFO, set per-agent consumption guardrails, and retire solutions that do not justify their cost.
  • Own AI security for internal solutions, including identity and access through Entra ID, data residency, access controls, audit trails, prompt-injection defense, and content safety; protect company and client data with leadership.
  • Run the AI incident process with a named AI System Owner in each function and ensure systems are reviewed independently of their owners.
  • Build agents hands-on, set quality standards, and review the team's delivered work.
  • Define AI development standards covering architecture and design patterns, prompt and grounding practices, evaluation and testing, security, and agent release criteria; require acceptance evaluation before release.
  • Build and maintain shared SDKs, templates, reusable components, RAG pipelines over Azure AI Search, evaluation harnesses, CI/CD, and observability using Azure DevOps or GitHub.
  • Establish the production operations backbone for AI, including telemetry and monitoring, ALM, human-in-the-loop controls, and responsible-AI guardrails.
  • Choose development platforms, including Copilot Studio, Microsoft Foundry, and the Microsoft Agent Framework, and make build-versus-buy decisions; ground solutions in Dynamics 365, Power Platform, and Dataverse.
  • Work with Operations, Delivery, Sales, Marketing, and Talent leaders to identify and prioritize automation opportunities by value and feasibility.
  • Run discovery to turn business problems into agent solutions and maintain a backlog of opportunities.
  • Pilot, measure, scale, or discontinue solutions; define each pilot's owner, users, success measure, and decision within 90 days.
  • Build and support Ludia Labs accelerators and AI tools for repeatable, reliable customer AI.
  • Shape AI and agent strategy for field service, operations, and Finance & Supply Chain, aligned with accelerator and IP roadmaps.
  • Version, document, and support accelerators so delivery teams can reuse and deploy them.
  • Provide AI literacy training, office hours, hands-on sessions, and the monthly demonstration forum.
  • Mentor engineers and consultants on agent development and AI standards, and develop future AI leaders.
  • Lead and measure AI adoption, including tool usage, frequency, and outcomes.
  • Provide AI expertise in pre-sales and customer conversations, explain Ludia's AI governance, and ensure a clean sales-to-delivery handoff.
  • Share knowledge through demonstrations, internal sessions, blogs, occasional white papers, and Dynamics for Good.
  • Maintain a 50% billable utilization target, tracked monthly.
  • Serve as the primary contact for AI products and customers, including escalations and account health.
  • Respond to customer issues and follow them through to resolution.
  • Share customer feedback with delivery and leadership to improve the offering.
  • Mentor junior consultants and contribute to AI delivery standards.
  • Identify account expansion opportunities and partner with Sales on AI-related follow-on work, managed services, and roadmap engagements.
  • Represent Ludia in executive briefings, steering committees, and quarterly business reviews.
  • Deliver an internal agent in production within the first 90 days, with named users, an owner, and a measured result.
  • Track AI spend by platform and report it to the CFO monthly; apply written AI development standards to active builds.
  • Within the first year, bring an agent into production in Sales, Delivery, Operations, Marketing, and Talent, and report monthly impact measures.
  • Measure monthly active users per agent and weekly use of approved AI tools.
  • Keep AI spend within budget, issue a written kill-or-scale decision for each pilot within 90 days, and deploy at least two documented, versioned Ludia Labs accelerators on customer projects.
  • Report AI incidents within policy timelines, complete quarterly register reviews, ensure every team completes hands-on AI enablement, and run the monthly demonstration forum without serving as its presenter.

Desired Qualifications

  • Experience in Physical Operations industries such as heavy equipment, energy, manufacturing, engineering and construction, or professional services, and experience with Dynamics 365, especially Finance & Supply Chain, Customer Engagement, and Field Service.
  • Microsoft AI certifications, especially AI Transformation Leader (AB-731) and Agentic AI Business Solutions Architect Expert (AB-100).
  • Experience building reusable accelerators, intellectual property, or marketplace solutions.
  • Familiarity with ISO/IEC 42001 or a comparable AI management standard, and with applicable US state and EU AI rules.
  • AI Agent Builder Associate (AB-620) or Azure AI Engineer Associate (AI-102) certification.
  • Ability to travel occasionally within the United States for Microsoft, client, or industry events.

About the Company

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