AI Systems Architect – Full-Stack

🕒 May 15

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MPF Federal, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

🤝 B2B

⚕️ Healthcare Insurance

🔬 Science

B2B • Healthcare Insurance • Science

MPF Federal, LLC is a team of highly experienced professionals dedicated to providing a full range of services for business requirements, including training, technical services, clinical research, life sciences support, and business management. Headquartered in Washington, DC, MPF works with both federal government and commercial clients, offering innovative solutions in information technology, program management, records management, and compliance. Established in 2012 as a SBA Certified HUB Zone and Woman Owned Small Disadvantaged Business, MPF's mission is to meet client needs with measurable performance standards and high-quality deliverables.

📋 Description

• Lead the design and development of AI-driven tools optimized for deployment across AWS, Azure, and Google Cloud. • Design, create and deploy applications for internal and external use. • Build products that ensure operational discipline and robust governance across diverse cloud ecosystems. • Develop end-to-end applications where the frontend serves as a real-time Decision Support Interface and the backend functions as a high-concurrency engine. • Design asynchronous APIs capable of handling live, multi-modal data ingestion from diverse sources. • Architect complex system states where variables are collected, analyzed, and orchestrated in real-time to drive predictive outcomes. • Ensure seamless application performance and portability across a multi-cloud landscape.

🎯 Requirements

• 10+ years in full-stack development, with at least 4 years specifically focused on AI/ML integration. • Proven success building and deploying applications in secure, multi-tenant cloud environments. • Experience designing unified data stacks that synchronize real-world human interactions with virtual system states in real-time. • A track record of developing autonomous AI agents using frameworks such as LangGraph, AutoGen, or CrewAI to orchestrate complex, multi-step workflows. • Experience building pipelines for diverse data types (text, telemetry, and unstructured audio) to drive real-time system updates. • Proficiency in designing agent-based models and utilizing Reinforcement Learning to simulate complex decision-making cycles. • Deep LLM & Vector expertise, leveraging LLMs for dynamic content generation and utilizing vector databases to manage contextual memory. • Demonstrated ability to operate as a self-starter, managing technical debt and architectural trade-offs independently. • Experience navigating the technical and security constraints of government or heavily regulated industries. • U.S. Citizenship Required.

🏖️ Benefits

• Build real AI products with real-world federal impact. • High trust, low bureaucracy; engineers are empowered to build. • Opportunity to shape greenfield systems and MVPs, not just maintain legacy tools. Work alongside a team that values execution, curiosity, and ownership. • Competitive compensation package including a competitive salary, medical benefits, PTO, holiday pay and more.