AI Solutions Architect

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.

What You’ll Do

• 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.

What You’ll Bring

• Hands-on experience with one or more of the following: LLM-based application development, retrieval-augmented generation architectures, agentic