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