VP, AI Architecture & Delivery Excellence
- Source: LinkedIn
- MGT
- Remote
- United States
- Full-Time
- Senior
Job Description
Job Details
Description 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.
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Skills
- reuse
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