AI Architect (Generative AI – Azure)

Job Description

AI Architect (Generative AI – Azure)

Location: Dallas, TX
Duration: 12-Month Contract (Long-Term Potential)
Schedule: Onsite 3 days/week (minimum)
Eligibility: U.S. Citizen or Permanent Resident (TSA PreCheck required)
Employment Type: Contract / Staff Augmentation

Overview

A leading energy client in Dallas is seeking an AI Architect to support enterprise-wide AI initiatives, with a strong focus on Generative AI and Microsoft’s AI ecosystem (Azure AI, Copilot, Foundry).

This is a hands-on architecture role for someone who can operate at both the strategic and technical levels—designing scalable AI solutions while also contributing to development and guiding teams. You’ll play a key role in shaping AI roadmaps, defining architecture standards, and presenting solutions to leadership.

Key Responsibilities

1. AI Architecture, Strategy & Solution Design

• Design end-to-end AI architectures using Microsoft AI platforms (Azure AI, Copilot, Foundry)
• Define reference architectures for Generative AI use cases
• Evaluate and select tools with a focus on cost efficiency and delivery speed
• Guide platform teams on AI infrastructure readiness
• Optimize compute, storage, and operational costs
• Establish AI governance frameworks aligned with enterprise security, data governance, and compliance standards
• Design monitoring, auditability, and lifecycle management for AI systems

2. AI Application Development & Integration

• Develop AI solutions using Azure AI Foundry and Copilot Studio
• Build and deploy LLM-powered applications
• Integrate AI solutions with enterprise systems and workflows
• Work with Power Platform (Power Apps, Power Automate, Power BI) for AI-driven automation and insights
• Design, extend, and customize Copilot solutions
• Integrate services using Microsoft Graph, REST APIs, and Fabric

3. Strategy, Roadmapping & Leadership

• Identify and define AI use cases aligned to business problems
• Develop AI roadmaps, blueprints, and adoption strategies
• Present architectural concepts and strategies to technical and executive stakeholders
• Mentor development and admin teams
• Support proof of concepts (POCs) and pilot initiatives

Required Skills & Experience

• Strong expertise in Generative AI concepts:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Embeddings & Vector Search
• Hands-on experience with:
• Microsoft Azure AI ecosystem (Azure AI, Copilot, Foundry)
• Cloud architecture & solution design
• Experience integrating systems using:
• Microsoft Graph, REST APIs, Microsoft Fabric
• Solid understanding of:
• AI governance, security, and compliance frameworks
• Cloud fundamentals (Azure preferred)
• Strong architectural thinking and problem-solving ability
• Excellent communication and presentation skills, with the ability to engage both technical teams and leadership

Ideal Candidate Profile

• Combines enterprise architecture experience with hands-on development capability
• Comfortable working in a consultative, stakeholder-facing role
• Experience in large-scale enterprise environments
• Proven ability to translate business problems into AI-driven solutions