MPF Federal, LLC · 17 hours ago
Lead AI Systems Architect (Full-Stack)
MPF Federal is seeking a hands-on Lead AI Systems Architect to design and build sophisticated AI applications from the ground up. This role involves owning the end-to-end development of AI-enabled applications that bridge complex data ingestion, machine learning models, and advanced front-end visualizations.
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Responsibilities
Architect & Build from Scratch: Lead the design and development of AI-driven tools optimized for deployment across AWS, Azure, and Google Cloud
Execute in Multi-Cloud Governance Structures: Build products that ensure operational discipline and robust governance across diverse cloud ecosystems
Create Advanced Full-Stack Orchestration: 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
Exploit Real-Time Data & API Architecture: Design asynchronous APIs capable of handling live, multi-modal data ingestion from diverse sources
Employ Stateful System Design: Architect complex system states where variables are collected, analyzed, and orchestrated in real-time to drive predictive outcomes
Deliver Cloud-Agnostic Deployment: Ensure seamless application performance and portability across a multi-cloud landscape
Qualification
Required
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
Medical benefits
PTO
Holiday pay
And more