Senior AI System Architect; Outcome- AI

Senior AI System Architect (Outcome-Based AI)

Full Time PALM BAY, FL, US

4 days ago Requisition

Job Title: Senior AI System Architect (Outcome-Based AI Operations)

Department :
Information Technology

Reports to: Vice President of Information Technology

Location: Palm Bay, FL

Established in 1973, Dynatech International is a Commercial and Defense supply chain company providing long term, complex procurement, engine overhaul, rotable and repair management services, manufacturing, and kitting solutions across land, air, sea, and space programs. Dynatech’s proprietary database, the Defense Logistics Management System (DLMS®), empowers us to mitigate supply chain risk, and provide quality supply chain solutions in a cost-effective manner that enhances operational readiness for over 2,000 weapons systems and platforms.

We're actively deploying AI-driven operational systems to modernize sourcing, procurement, proposal development, workflow automation, executive operations, and enterprise decision support.

This is not a traditional "AI chatbot" position.

We're building production-grade AI operational infrastructure designed to create measurable business outcomes, improve operational velocity, enhance executive decision-making, and support scalable autonomous workflows across the enterprise.

We're looking for an AI Systems Architect to help design, implement, and mature the next generation of AI-enabled operational systems at Dynatech.

The Senior AI Systems Architect will lead the design and implementation of enterprise-grade AI operational systems integrating:

• workflow orchestration
  · retrieval systems
• Microsoft ecosystems
  · operational data sources
• human-in-the-loop governance

This role takes more than API integration and prompt engineering. The architect needs to design durable AI systems that produce measurable operational outcomes while maintaining security, auditability, governance, scalability, and operational resilience.

The right candidate is equally at home discussing:

• AI orchestration frameworks
  · workflow engineering
• executive operations
  · systems integration

• Architect scalable AI operational systems supporting enterprise workflows
• Design modular, maintainable AI infrastructure
• Build autonomous and semi-autonomous AI agent ecosystems
• Develop long-term memory and retrieval architectures
• Implement human-in-the-loop escalation frameworks

• Automate operational and executive workflows
• Integrate AI into procurement, sourcing, proposal generation, and operational processes
• Design orchestration layers across multiple AI services and tools

• Integrate with Microsoft 365, Azure AI, Microsoft Graph, Teams, Outlook, and Share Point
• Support AI-driven email, scheduling, task management, and operational workflows
• Implement secure permission and identity management practices

• Implement multi-agent orchestration frameworks
• Develop RAG (Retrieval-Augmented Generation) systems
• Implement tool-use and function-calling frameworks
  
  Develop monitoring, logging, and audit systems
• Design AI safety and governance controls

• Develop production-grade testing methodologies
• Implement AI guardrails and escalation logic
• Ensure operational transparency and auditability
• Support data governance and compliance requirements
• Build systems resilient to hallucination and workflow failure

• U.S. Person as defined in 22 CFR § 120.62 (U.S. citizen, lawful permanent resident, or protected individual)
• Familiarity with CMMC Level 2, NIST SP 800-171, and DFARS  requirements, and with handling Controlled Unclassified Information (CUI)
• Comfortable operating in an ITAR-aware environment
• Production system access will not be granted until our standard vendor risk review has been completed

• Deep experience with OpenAI APIs and LLM architectures
• Strong understanding of AI orchestration frameworks
• Experience with one or more of:
• Lang Chain
• Lang Graph
• CrewAI
• Auto Gen
• Semantic Kernel
• or similar frameworks
• Experience with vector databases and retrieval systems
• Experie…