Vice President, AI Solutions & Delivery

MGT•,

2d•Hybrid

About The Position

The Vice President, AI Solutions & Delivery will lead solution strategy, architecture, and delivery quality across MGT’s AI initiatives, with a primary focus on client-facing AI revenue and delivery. This role will also support internal MGT initiatives, reusable accelerators, internal products, and AI enablement priorities. This is a builder-leader role. The right candidate can engage executives, shape opportunities, architect practical AI solutions, guide technical teams, and ensure delivery quality from discovery through implementation. This person does not need to personally build every component, but must be technical enough to set direction, review architectures, mentor builders, and step into the details when needed.

Requirements

Strong technical fluency across modern AI solution patterns, including LLM applications, RAG, agentic workflows, prompt engineering, vector databases, data pipelines, and integrations.
Experience designing practical AI, data, analytics, or software solutions that solve real business problems.
Demonstrated ability to lead technical teams that ship production-quality work.
Ability to translate business needs into technical architectures, delivery plans, and implementation roadmaps.
Strong understanding of production delivery considerations, including scalability, maintainability, security, governance, and user adoption.
Executive presence with the ability to communicate effectively with clients, consultants, engineers, and senior leadership.
Ability to support business development, proposal strategy, client demonstrations, and pursuit conversations.
Strong architecture review skills, with the ability to identify design gaps, delivery risks, and practical remediation paths.
Builder mentality with strong delivery instincts and a bias toward practical implementation.
Ability to mentor technical talent and create delivery standards, documentation norms, and reusable solution patterns.
Comfort operating in a fast-moving environment where solutions, teams, and delivery models are still being built.
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.

Nice To Haves

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.

Responsibilities

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.