Sr AI System Architect (Outcome-Based AI)

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 agentsworkflow orchestration · retrieval systemsMicrosoft ecosystems · operational data sourceshuman-in-the-loop governanceThis 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 integrationlong-term production architectureCore Responsibilities

AI Systems Architecture

Architect scalable AI operational systems supporting enterprise workflowsDesign modular, maintainable AI infrastructureBuild autonomous and semi-autonomous AI agent ecosystemsDevelop long-term memory and retrieval architecturesImplement human-in-the-loop escalation frameworksDesign secure production-grade AI pipelinesWorkflow Automation

Automate operational and executive workflowsIntegrate AI into procurement, sourcing, proposal generation, and operational processesDevelop measurable KPI-driven automation systemsCreate AI-assisted decision support systemsDesign orchestration layers across multiple AI services and toolsMicrosoft Ecosystem Integration

Integrate with Microsoft 365, Azure AI, Microsoft Graph, Teams, Outlook, and SharePointSupport AI-driven email, scheduling, task management, and operational workflowsImplement secure permission and identity management practicesAI Engineering and Orchestration

Implement multi-agent orchestration frameworksDevelop RAG (Retrieval-Augmented Generation) systemsBuild vector database architecturesImplement tool-use and function-calling frameworksDevelop monitoring, logging, and audit systemsDesign AI safety and governance controls

Operational Governance

Develop production-grade testing methodologiesImplement AI guardrails and escalation logicEnsure operational transparency and auditabilitySupport data governance and compliance requirementsBuild systems resilient to hallucination and workflow failureRequired 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 environmentProduction system access will not be granted until our standard vendor risk review has been completedTechnical Expertise

Deep experience with OpenAI APIs and LLM architecturesStrong understanding of AI orchestration frameworksExperience with one or more of:Microsoft FoundryLangChainLangGraphCrewAIAutoGen Semantic KernelMicrosoft Copilot Studioor similar frameworksExperience with vector databases and retrieval systemsStrong API integration experienceStrong Python development capabilitiesExperience with Azure AI and Microsoft GraphExperience with workflow orchestration platforms

Legacy System Integration

Experience integrating modern AI services with legacy enterprise applicationsStrong SQL Server background (T-SQL, performance diagnostics, schema discovery)Comfort with ASP.NET Web Forms and ERP-class applications as integration targetsComfort working across Windows Server, macOS AI compute, and Tailscale-managed networksSystems and Operations

Track record designing durable operational systemsExperience implementing production AI systemsStrong understanding of workflow engineeringExperience with logging, monitoring, and observabilityStrong understanding of security and governanceExperience with scalable enterprise architectureBusiness and Strategic Thinking

Ability to align AI systems with measurable business outcomesStrong operational reasoning skillsAbility to translate executive objectives into technical architecturesStrong written and verbal communication skillsAbility to operate independently in a fast-moving environmentPreferred Qualifications

Experience supporting defense or regulated industriesExperience with procurement or supply chain systemsExperience with autonomous operational workflowsExperience with voice AI systemsExperience with avatar or conversational AI systemsExperience integrating AI into ERP or CRM environmentsExperience with executive assistant AI systemsWhat Success Looks Like

Success in this role means building AI systems that:

Reduce operational frictionImprove decision speedEnhance sourcing and proposal operationsAutomate repetitive workflowsImprove executive leverageMaintain governance and securityScale reliably across the organizationWhat This Role Is NOT

This role is NOT:

Basic prompt engineeringSimple chatbot developmentFront-end-only AI workExperimental hobby AI projectsWe'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 systemsUnderstands operational workflowsValues measurable outcomesEmbraces rapid innovationBalances speed with governanceOperates at both strategic and technical levelApplication Requirements

Applicants should provide:

Resume or CVRelevant GitHub or portfolio linksExamples of production AI systems builtArchitecture examples or diagrams (if available)Description of prior AI operational workflows implementedPreferred AI stack and orchestration frameworksAvailability and engagement modelCompensation 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