Senior AI System Architect (Outcome-Based AI

Job Title:

Senior AI System Architect (Outcome-Based AI Operations)

Department :

Information Technology Reports to:

Vice President of Information Technology Location:

Palm Bay, FL Company Overview Company Overview:

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. Position Summary The Senior AI Systems Architect will lead the design and implementation of enterprise-grade AI operational systems integrating: large language models (LLMs)

• autonomous agents 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 long-term production architecture Core Responsibilities AI Systems Architecture 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 Design secure production-grade AI pipelines Workflow Automation Automate operational and executive workflows Integrate AI into procurement, sourcing, proposal generation, and operational processes Develop measurable KPI-driven automation systems Create AI-assisted decision support systems Design orchestration layers across multiple AI services and tools Microsoft Ecosystem Integration Integrate with Microsoft 365, Azure AI, Microsoft Graph, Teams, Outlook, and SharePoint Support AI-driven email, scheduling, task management, and operational workflows Implement secure permission and identity management practices AI Engineering and Orchestration Implement multi-agent orchestration frameworks Develop RAG (Retrieval-Augmented Generation) systems Build vector database architectures Implement tool-use and function-calling frameworks Develop monitoring, logging, and audit systems Design AI safety and governance controls Operational Governance 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 Required Qualifications Compliance and Eligibility (non-negotiable) 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 252.204-7012

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 Technical Expertise Deep experience with OpenAI APIs and LLM architectures Strong understanding of AI orchestration frameworks Experience with one or more of: Microsoft Foundry LangChain LangGraph CrewAI AutoGen Semantic Kernel Microsoft Copilot Studio or similar frameworks Experience with vector databases and retrieval systems Strong API integration experience Strong Python development capabilities Experience with Azure AI and Microsoft Graph Experience with workflow orchestration platforms Legacy System Integration Experience integrating modern AI services with legacy enterprise applications Strong SQL Server background (T-SQL, performance diagnostics, schema discovery) Comfort with ASP.NET Web Forms and ERP-class applications as integration targets Comfort working across Windows Server, macOS AI compute, and Tailscale-managed networks Systems and Operations Track record designing durable operational systems Experience implementing production AI systems Strong understanding of workflow engineering Experience with logging, monitoring, and observability Strong understanding of security and governance Experience with scalable enterprise architecture Business and Strategic Thinking Ability to align AI systems with measurable business outcomes Strong operational reasoning skills Ability to translate executive objectives into technical architectures Strong written and verbal communication skills Ability to operate independently in a fast-moving environment Preferred Qualifications Experience supporting defense or regulated industries Experience with procurement or supply chain systems Experience with autonomous operational workflows Experience with voice AI systems Experience with avatar or conversational AI systems Experience integrating AI into ERP or CRM environments Experience with executive assistant AI systems What Success Looks Like Success in this role means building AI systems that: Reduce operational friction Improve decision speed Enhance sourcing and proposal operations Automate repetitive workflows Improve executive leverage Maintain governance and security Scale reliably across the organization What This Role Is NOT This role is

NOT:

Basic prompt engineering Simple chatbot development Front-end-only AI work Experimental hobby AI projects We're looking for a systems architect capable of building operational AI infrastructure with real-world business impact. Ideal Candidate Traits The ideal candidate: Thinks in systems Understands operational workflows Values measurable outcomes Embraces rapid innovation Balances speed with governance Operates at both strategic and technical level Application Requirements Applicants should provide: Resume or CV Relevant GitHub or portfolio links Examples of production AI systems built Architecture examples or diagrams (if available) Description of prior AI operational workflows implemented Preferred AI stack and orchestration frameworks Availability and engagement model Compensation is competitive and aligned to experience, capability, and demonstrated expertise. Both contract and long-term engagement structures will be considered We offer a comprehensive benefits package which includes health, dental, vision, & life insurance, and 401k Retirement plan. Equal Opportunity Employer - Vet/Disability - Drug-Free Workplace