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MGT

Vice President, AI Solutions – Delivery

MGT

Vice President leading AI solutions and delivery for MGT. Focusing on client-facing AI revenue and delivery ensuring quality and architecture standards.

Posted 7/14/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading AI solution design and delivery, with a strong focus on scalable and maintainable architectures. Proficient in mentoring technical teams and ensuring alignment with governance and security standards.

Highest-signal resume keywords
AI Solution DesignLarge Language ModelsData PipelinesTechnical Delivery LeadershipCloud-Based AI Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI SolutioningArchitecture StandardsTechnical ScopingImplementation PlanningPrompt EngineeringEnterprise IntegrationsAnalyticsData ScienceSoftware DeliveryGovernance and Security
Soft Skills
MentoringCollaborationCommunicationProblem SolvingDocumentation
Tools & Technologies
ETL/ELTAnalytics PlatformsAI Tool SuiteData PlatformsRAG Pipelines
Industry Keywords
Technology ConsultingProfessional ServicesAI Center of ExcellenceClient-Facing DeliveryState and Local Government

Tech Stack

Tools & technologies
CloudETL

About the role

Key responsibilities & impact
  • Lead AI solutioning for external client opportunities, including discovery, technical scoping, architecture, and delivery planning.
  • Translate complex business problems into practical AI solutions that can be built, implemented, and supported.
  • Partner with consultants, subject matter experts, and client stakeholders to shape high-value AI use cases.
  • Support proposals, pursuits, demonstrations, and executive-level client conversations.
  • Set architecture standards for AI solutions across client-facing and internal work.
  • Guide solution design across LLM applications, RAG pipelines, agentic workflows, data pipelines, integrations, analytics, and model/tool selection.
  • Establish reusable design patterns, components, templates, and accelerators.
  • Ensure solutions are scalable, secure, maintainable, and aligned with client needs.
  • Own quality standards for AI delivery across client engagements and internal builds.
  • Review technical designs, delivery plans, implementation risks, and production-readiness considerations.
  • Help teams move from prototype to production-ready AI solutions.
  • Partner with internal operations and governance leaders to ensure delivery aligns with policies, data handling requirements, and stakeholder expectations.
  • Mentor AI Solutions Architects, Data Engineers, Data Scientists, and other technical builders.
  • Help define the AI builder talent model, including role expectations, growth paths, and delivery standards.
  • Provide technical coaching to teams working across internal MGT priorities and external client projects.
  • Build a culture of practical shipping, strong documentation, reusable delivery patterns, and delivery accountability.
  • Support internal AI product development where architecture, data, or delivery expertise is needed.
  • Contribute to MGT’s AI tool suite, accelerators, methods, and implementation playbooks.
  • Identify repeatable solutions that can be packaged across clients or internal use cases.
  • Partner with the VP, AI Strategy & Operations on portfolio visibility, resourcing, and delivery readiness.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, Business, or a related field preferred, or equivalent professional experience.
  • Seven (7) or more years of experience in technology consulting, AI, data, analytics, software delivery, enterprise architecture, or professional services.
  • Hands-on or deeply technical experience designing AI, data, analytics, or software solutions.
  • Experience leading technical delivery teams, architecture reviews, solution design, or implementation work.
  • Experience working with modern AI technologies, including large language models, RAG pipelines, agentic workflows, prompt engineering, data pipelines, and enterprise integrations.
  • State and local government experience preferred.
  • Consulting or client-facing technical delivery background preferred.
  • Experience with cloud-based AI services, data platforms, ETL/ELT, analytics platforms, or enterprise integration tools preferred.
  • Experience standing up an AI practice, AI Center of Excellence, product studio, or technical delivery function preferred.
  • Prior experience mentoring architects, data engineers, data scientists, AI builders, or software delivery teams preferred.
  • Familiarity with governance, security, privacy, and responsible AI considerations preferred.

Benefits

Comp & perks
  • Flexible paid time off
  • 5% 401K matching program
  • Equity opportunities
  • Incentive and bonus programs
  • Up to 16 weeks of paid parental leave
  • Flexible spending accounts
  • Full-health benefits with base employee coverage fully funded, comprising: Medical, dental, and vision coverage
  • Life insurance
  • Short and long-term disability coverage
  • Income protection benefits