AI Solutions Architect

Job not on LinkedIn

🔥 16 hours ago

🏛️ District of Columbia, Utah – Remote

🏛️ District of Columbia – Remote ⛷️ Utah – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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MGT

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1974

📚 Education

🔒 Cybersecurity

🏢 Enterprise

Education • Cybersecurity • Enterprise

MGT is a leading provider of specialized technology and advisory solutions focused on improving performance and efficiency in education systems, state and local government, and critical infrastructure. With over 50 years of experience, MGT combines advanced IT managed services with trusted advisory expertise to tackle mission-critical issues such as cybersecurity, data protection, and digital transformation. Their commitment to social impact drives their efforts to enhance communities by shaping educational practices and optimizing public services.

📋 Description

• 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.

🎯 Requirements

• Three (3) to five (5) years of professional experience • 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

🏖️ Benefits

• 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