IT Architect

BIG TEX HOLDING INC•Addison, TX

1d•Onsite

About The Position

The IT Architect – AI leads AI enablement and Azure solution design across engineering and the wider business at American Trailer World (ATW). The role establishes how employees work alongside AI, delivers AI agents that streamline the software development lifecycle, and supports business teams in building AI tools within approved guardrails. It combines hands-on technical delivery with coaching and governance. Solutions are expected to follow ATW’s Azure reference architecture and security standards. Within the first 90 days, the role is expected to map areas where AI can remove friction, deliver one production agent with a measurable baseline, and publish version 1 of the AI coworking playbook. Within six months, several SDLC agents should be in daily use and at least three business teams should be using AI tools built with the role’s support. Within the first year, AI-assisted work is expected to become the default across engineering, with reported gains in delivery speed and quality. Other duties may be assigned.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent professional experience.
At least 7 years of software engineering experience, including at least 2 years as an architect or technical lead.
Proven record of delivering AI agents that automate real work, with measurable results.
Hands-on experience building MCP servers that connect agents to internal systems, including authentication and permissions.
Strong knowledge of LLM patterns, including prompt design, tool calling, retrieval-augmented generation (RAG), agent orchestration, and evaluation.
Daily use of agentic coding tools such as Claude Code or GitHub Copilot.
Production experience with Azure, including Azure AI Foundry or Azure OpenAI, Functions, Container Apps, Entra ID, Key Vault, Azure DevOps, and Application Insights, using .NET (C#) or Python.
Experience leading code reviews and setting coding standards for development teams, including vendors.
Experience helping non-technical employees adopt AI and build their own tools.
Strong understanding of AI security, including data privacy, access control, prompt injection risks, and human oversight.
Clear communication skills and ability to explain technical architecture to engineers and automation ideas to business teams.

Nice To Haves

Experience with Claude Cowork, Claude API, Copilot Studio, or Power Automate.
Experience running an AI center of excellence.
Microsoft certification such as AZ-305 (Azure Solutions Architect Expert) or AI-102 (Azure AI Engineer Associate).
Knowledge of Domain-Driven Design and infrastructure as code using Bicep.

Responsibilities

Define how teams use AI in daily work and publish playbooks, agent patterns, and reusable templates.
Design and deliver AI agents for ticket refinement, code generation, code review, test generation, CI/CD triage, and documentation, integrating them through APIs and MCP servers.
Track cycle time, review turnaround, defect escape rate, and hours saved, and refine solutions based on results.
Partner with business teams to identify repetitive work suitable for automation and mentor employees building AI agents and automations within approved guardrails.
Set Azure standards for model selection, orchestration, retrieval, evaluation, cost, and observability for internal and vendor-built applications.
Guide Azure solution design, review code and pull requests, and hold vendor deliverables to the same standards.
Establish guardrails and evaluation practices, and work with Security and Compliance on data handling, access controls, and human review.
Lead workshops, office hours, and pairing sessions to build AI skills across the organization.
Write and review production-quality code and reusable components, and troubleshoot complex application, integration, identity, performance, and deployment issues.
Map high-impact AI opportunities, deliver a production agent with a measurable baseline, and publish the initial AI coworking playbook within the first 90 days.
Bring several SDLC agents into daily use and support at least three business teams in using AI tools within the first six months.
Establish AI-assisted work as the engineering default within the first year, with reported improvements in delivery speed and quality.
Perform other duties as assigned.