AI Solutions Architect

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.

The AI Solutions Architect will join MGT’s AI Operating Group (AI OG), which is responsible for internal AI tool development and client-facing AI solution delivery, primarily for state and local government clients. This is a hands-on consulting and building role focused on designing and delivering AI-powered solutions for real client problems across discovery, architecture, build, deployment, and iteration. In this role, you will:

• →Design end-to-end AI solution architectures for client engagements, from problem discovery through production deployment.
• →Build and implement retrieval-augmented generation (RAG) pipelines, agentic workflows, and multi-agent systems using frameworks such as LangChain and LangGraph.
• →Architect data pipelines and integration patterns that connect AI capabilities to existing client systems and data sources.
• →Work with tool-layer integration standards, including Model Context Protocol (MCP), to connect agents with enterprise systems.
• →Develop reusable components, skills, templates, and accelerators that can scale across multiple engagements.
• →Collaborate with project leads, consultants, and subject matter experts to translate business requirements into technical specifications and solution designs.
• →Support internal product development across MGT’s AI tool suite.
• →Present technical architectures and solution recommendations to internal leadership and client stakeholders.
• →Participate in discovery sessions and workshops to identify high-impact AI use cases within client organizations.

• Hands-on experience with one or more of the following: LLM-based application development, retrieval-augmented generation architectures, agentic design patterns, prompt engineering, or vector databases.
• Strong technical problem-solving ability and a track record of building practical solutions that work in real operating environments.
• Comfort working at the intersection of consulting and building, including the ability to sit with a client, understand an operational challenge, and translate it into a working AI architecture.
• Ability to learn new technical capabilities, platforms, frameworks, and deployment patterns quickly.
• Strong communication skills with the ability to work effectively with consultants, clients, executive leadership, and technical teams.
• Ability to independently scope, architect, and deliver technical solutions with minimal oversight.
• A builder mentality, with a bias toward figuring things out, shipping solutions, and iterating based on feedback.
• Comfort with concepts such as RAG pipelines, agentic workflows, prompt engineering, cloud deployment, and AI solution architecture.

• Three (3) or more years of professional experience; prior AI experience is not required if the candidate demonstrates strong technical problem-solving ability and a successful track record of building solutions.
• Bachelor’s degree or equivalent practical experience required.
• Preferred experience in consulting, professional services, or client-facing technical delivery.
• Preferred background in data architecture, ETL/ELT pipelines, or analytics platforms.
• Preferred programming experience in Python or similar languages.
• Preferred experience working with cloud-based AI services on any major platform.
• Remote employees are expected to travel periodically to an MGT office or client location based on business needs.

• Within 30 days, you understand MGT’s current AI tool suite, architecture patterns, and active client engagements, and you have shipped something.
• Within 90 days, you are independently architecting solutions for client projects and contributing to internal product development.
• Within six (6) months, you are leading technical delivery on engagements, mentoring team members on AI solution patterns, and shaping MGT’s approach to new AI use cases.

You will join a team that is actively building and shipping AI products. MGT has real tools in production, real clients using them, and a leadership team that understands both the technology and the business.

This is a high-visibility role with direct access to senior leadership and the opportunity to shape how AI is delivered across the organization. As MGT builds the AI practice from the ground up, this role will have meaningful influence on the tools, processes, and culture of the team.

Our philosophy is clean data foundations first, AI layered on top; process understanding before automation; and empowering domain experts to build rather than centralizing AI capability in a silo.