VP, AI Architecture & Delivery Excellence

FLSA Status: Exempt

Full-Time

Location: Remote / Hybrid

Salary Range: $180,000 - $220,000

WHO WE ARE:

MGT is a leading provider of technology and advisory solutions serving state, local, and education government agencies (SLED) across the United States. Through client partnerships, MGT’s almost 1,200 employees impact communities for good by managing and securing critical networks, solving complex human capital and fiscal problems, elevating education systems, and advancing equity as a performance imperative. MGT partners with thousands of agencies as a trusted advisor delivering solutions that improve technology, operational, and economic performance to help communities thrive.

Founded in 1975, MGT initiated an ambitious restart in 2016, broadening the solutions portfolio to provide the most specialized solutions, tackling the most mission-critical problems that live at the top of the public agency leadership agenda. MGT drives over 20% compound annual organic growth and utilizes programmatic mergers and acquisitions to grow capabilities, attract top talent, and accelerate growth scale. Since 2020, MGT has successfully completed 13 acquisitions, driving over 60% compound annual inorganic growth.

Celebrating its 50th year in 2025, the firm attracts exceptional talent and empowers them to exceed client expectations as they navigate the dynamic demands of the clients we serve. Hear more about MGT’s culture in the words of our employees.

WHAT YOU’LL DO:

MGT’s AI Operating Group is hiring a VP, AI Architecture & Delivery Excellence to own the technical integrity, production readiness, governance, and scalable delivery of MGT’s AI solutions and agent portfolio.

This is an internal-first technical leadership role. The VP will establish the architecture, engineering, security, and delivery standards used across MGT’s AI initiatives. They will assess the existing AI-agent portfolio, strengthen solutions already in production, and build repeatable methods for moving new concepts from prototype to reliable production use.

The VP will also provide technical leadership on complex client engagements and major pursuits. Working alongside MGT’s commercial leaders, they will translate business and client requirements into practical architectures, validate proposed solutions, and communicate technical value to executive stakeholders.

This role will own architecture, technical credibility, production quality, delivery readiness, and the development of scalable AI capabilities.

This is a builder-leader role. The right candidate can set enterprise technical direction, evaluate a varied portfolio of AI solutions, resolve difficult delivery issues, mentor technical teams, and introduce the standards and governance needed to operate AI reliably at scale.

What You’ll Own

Enterprise AI Architecture and Standards

• Establish architecture, engineering, security, integration, and production-readiness standards for MGT’s AI solutions.
• Define reference architectures and approved design patterns for LLM applications, retrieval-augmented generation, agentic workflows, data pipelines, integrations, analytics, and related AI capabilities.
• Guide model, platform, tool, and infrastructure decisions based on business value, risk, scalability, and maintainability.
• Ensure AI solutions align with MGT’s security, privacy, data-handling, governance, and responsible-AI expectations.
• Maintain a practical technical roadmap for strengthening MGT’s AI delivery capabilities.

AI-Agent Portfolio Management

• Assess MGT’s existing portfolio of AI agents, applications, accelerators, and internal tools against a consistent production-readiness standard.
• Recommend which solutions should be remediated, scaled, consolidated, redesigned, or retired.
• Establish clear ownership, documentation, support, monitoring, and lifecycle expectations for production AI solutions.
• Identify technical debt, operational risk, duplication, and gaps across the portfolio.
• Improve the reliability, adoption, utilization, scalability, and measurable impact of MGT’s AI solutions.

Production Readiness and Delivery Excellence

• Establish repeatable delivery methods, quality gates, technical review processes, and implementation playbooks.
• Lead technical triage for high-risk, underperforming, or strategically important AI initiatives.
• Review solution architectures, estimates, delivery plans, testing approaches, and implementation risks.
• Help teams move effectively from experimentation and prototypes to secure, maintainable, production-ready solutions.
• Improve delivery predictability, estimate accuracy, time to production, and delivery margin.
• Ensure implementation lessons are captured and converted into reusable standards, assets, and practices.

Technical Solution Leadership

• Lead technical discovery and solution design for complex or strategically important client engagements.
• Translate business and client requirements into practical AI architectures and delivery plans.
• Partner with consultants, subject-matter experts, commercial leaders, and client stakeholders to validate solution feasibility.
• Support proposals, demonstrations, executive presentations, and major pursuits through technical storytelling and solution validation.
• Serve as a senior technical advisor during delivery escalations and critical client conversations.

This role contributes technical credibility and solution expertise to the sales process but does not independently own pipeline generation, new-logo acquisition, or practice revenue.

Team Leadership and Capability Development

• Mentor AI solution architects, engineers, data scientists, data engineers, and other technical builders.
• Define role expectations, technical competencies, growth paths, and quality standards across the AI delivery team.
• Strengthen teams’ capabilities in architecture, engineering discipline, testing, documentation, deployment, monitoring, and production support.
• Build a culture of practical delivery, thoughtful governance, technical accountability, and reuse.
• Identify capability gaps and inform hiring, staffing, training, and partner decisions.

Internal Product and Practice Enablement

• Provide architecture and delivery leadership for internal AI products, tools, accelerators, and enablement priorities.
• Develop reusable components, templates, reference architectures, implementation methods, and technical playbooks.
• Identify common capabilities that can be shared across internal solutions and client engagements.
• Partner with the VP of AI Strategy & Operations on portfolio priorities, resourcing, governance, and delivery readiness.
• Partner with commercial leadership to package technically proven capabilities for external use without assuming ownership of the sales funnel.

Required Qualifications

• Seven or more years of experience in AI, data, analytics, software engineering, enterprise architecture, technology consulting, or professional-services delivery.
• Deep technical experience designing and delivering AI, data, or software solutions in production environments.
• Strong knowledge of modern AI solution patterns, including LLM applications, RAG, agentic workflows, vector databases, prompt and context engineering, data pipelines, APIs, and enterprise integrations.
• Demonstrated ability to establish architecture standards and lead technical teams delivering production-quality work.
• Experience assessing solution portfolios, resolving complex delivery problems, and managing technical risk.
• Ability to translate business requirements into architectures, estimates, implementation plans, and operating models.
• Strong executive communication skills and the ability to work effectively with senior leaders, clients, consultants, engineers, and other technical stakeholders.
• A builder mentality combined with sound judgment, delivery discipline, and a pragmatic approach to governance.

Preferred Qualifications

• Experience establishing an AI Center of Excellence, architecture function, product studio, platform team, or technical delivery organization.
• Experience managing or rationalizing a portfolio of AI agents, applications, internal products, or reusable technology assets.
• Familiarity with cloud-based AI services, data platforms, observability, ETL/ELT, analytics, and enterprise integration patterns.
• Experience with AI evaluation, testing, monitoring, security, privacy, governance, and responsible-AI practices.
• Prior experience mentoring architects, engineers, data scientists, data engineers, or other AI builders.
• Consulting or client-facing technical delivery experience.
• State and local government experience.

Measures of Success

Success will be evaluated through measures such as:

• Percentage of AI solutions meeting defined production-readiness standards.
• Reliability, adoption, utilization, and business or client outcomes of AI solutions.
• Reduction in defects, unsupported solutions, duplicated capabilities, and unresolved technical debt.
• Time from approved concept to production deployment.
• Reuse of reference architectures, shared components, accelerators, and delivery assets.
• Delivery margin, estimate accuracy, and implementation predictability.
• Technical win rate on proposals and pursuits supported by this role.
• Growth in the capability, consistency, and independence of MGT’s AI delivery teams.

Success Milestones

30 Days

• Understands MGT’s AI strategy, active initiatives, internal products, agent portfolio, architecture patterns, and delivery risks.
• Has assessed the existing AI-agent estate against an initial production-readiness framework.
• Has identified critical risks, quick wins, unsupported solutions, and opportunities for consolidation or reuse.
• Has established working relationships with AI leadership, commercial leadership, delivery teams, governance partners, and key stakeholders.
• Is actively supporting the technical direction or triage of at least one priority initiative.

90 Days

• Has implemented clear architecture, engineering, security, and production-readiness standards.
• Has introduced quality gates and technical review processes for new and existing AI solutions.
• Has produced a prioritized plan for remediating, scaling, consolidating, or retiring solutions in the AI-agent portfolio.
• Has established an initial set of reference architectures, reusable design patterns, and delivery playbooks.
• Is providing technical leadership on priority internal initiatives and selected external pursuits.
• Has defined a capability-development plan for MGT’s AI architects and builders.

6 Months

• A meaningful share of MGT’s priority AI solutions meets the defined production-readiness standard.
• High-risk or unsupported agents have been remediated, consolidated, assigned clear ownership, or retired.
• MGT has stronger technical delivery discipline, governance, documentation, and operational visibility across its AI portfolio.
• Reusable architectures, components, and delivery methods are improving consistency and reducing time to production.
• Delivery estimates, margins, reliability, and implementation outcomes show measurable improvement.
• AI builders have clearer technical expectations, stronger mentorship, and a more mature approach to production delivery.
• Commercial teams have reliable technical support for major pursuits without ambiguity over pipeline or revenue ownership.

WHAT WE OFFER:

Our world-class work environment encompasses flexible and remote work options, a commitment to equity, and nationally respected teams in management consulting and technology services. We also offer opportunities to make a profound social impact through innovative projects, and professional development opportunities for career growth. Here you can read more about our extensive Employee Value Proposition (EVP).

Specifically, we will offer you a competitive compensation package including:

• 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

MGT Impact Solutions, LLC is an equal opportunity employer. We will not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, marital status, genetic information, sexual orientation, pregnancy, gender identity, or any other characteristic or class protected by law.