AI Systems Architect (Full-Stack)

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 is for a builder who thrives in ambiguity, takes ownership of architectural decisions, and is eager to deliver high-impact products at speed within government and heavily regulated environments. 

COMPENSATION: $150k-$180k (Depends on verified experience)

In this role you will own the end-to-end development of AI-enabled applications that bridge the gaps between complex data ingestion, machine learning models, and advanced front-end visualizations.  

What You’ll Do 

• Architect & Build from Scratch: 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

• 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. 
• Collaborate across all business departments.

• 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. 

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 is for a builder who thrives in ambiguity, ta...

Required Qualifications 

• 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. 

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 is for a builder who thrives in ambiguity, takes ownership of architectural decisions, and is eager to deliver high-impact products at speed within government and heavily regulated environments. 

COMPENSATION: $150k-$180k (Depends on verified experience)

In this role you will own the end-to-end development of AI-enabled applications that bridge the gaps between complex data ingestion, machine learning models, and advanced front-end visualizations.  

What You’ll Do 

• Architect & Build from Scratch: 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

• 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. 
• Collaborate across all business departments.

• 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. 

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 is for a builder who thrives in ambiguity, ta...

Required Qualifications 

• 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.