AI ENGINEERING LEAD (Public Sector Transformation) - Hybrid Role

We are seeking an experienced AI Engineering Lead who can bridge the gap between executive vision and technical execution. This individual will play a key role in defining and delivering an enterprise-wide AI transformation strategy-ensuring alignment across business priorities, IT architecture, and long-term scalability. You will lead both strategy and delivery, guiding teams across AI, data, and cloud while establishing governance, standards, and repeatable frameworks., * Enterprise AI Strategy & Roadmap

• Define and drive the long-term AI and data architecture strategy aligned with organizational goals

• Establish scalable frameworks for AI adoption across departments

• AI Governance & Standards

• Develop and enforce enterprise-wide AI standards, design patterns, and best practices

• Lead or contribute to architecture review boards to ensure consistency and reduce technical debt

• Cross-Functional Leadership

• Act as a liaison between executive leadership and technical teams

• Translate business needs into actionable technical solutions and delivery plans

• AI Solutions Delivery

• Oversee the design and execution of AI-driven solutions including:

• Chatbots and conversational AI

• Multi-agent systems and orchestration

• LLM optimization and integrations

• Lead teams of AI Engineers, Developers, and Cloud SMEs to deliver consistent, high-quality outcomes

• Cloud & Data Architecture

• Define and enforce cloud architecture standards across AWS and/or Azure

• Partner with infrastructure, security, and data teams to support modernization initiatives

• Technology Lifecycle Management

• Evaluate and introduce emerging technologies where appropriate

• Drive rationalization and retirement of legacy systems

• Mentorship & Enablement

• Provide leadership, coaching, and technical direction to engineering teams

• Support enterprise adoption through training, documentation, and best practices

• 15+ years of overall IT experience

• 5+ years in AI, data engineering, or enterprise architecture leadership roles

• Technical Expertise

• Strong experience with cloud platforms (AWS and/or Azure)

• Deep understanding of:

• AI/ML systems and Large Language Models (LLMs)

• Data architecture and integration patterns

• Microservices and API-driven ecosystems

• Hands-on or architectural familiarity with tools such as:

• Python, LangChain/LangGraph, vector databases, RAG frameworks

• Snowflake, Databricks, Kafka

• AWS Bedrock or similar AI services

• Architecture & Governance

• Experience defining enterprise standards, frameworks, and governance models

• Exposure to MLOps, AI lifecycle management, and secure architecture practices

• Leadership & Communication

• Proven ability to influence stakeholders at all levels without direct authority

• Strong communication skills-able to simplify complex technical concepts for non-technical audiences

• Certifications (Required/Preferred)

• AWS Solutions Architect (Professional) - Required

• TOGAF, Databricks, Snowflake, or cybersecurity certifications - Preferred

• Education

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field (or equivalent experience), This is a high-visibility opportunity to shape AI strategy within a complex, large-scale environment. You will have the ability to influence decision-making at the highest levels while building solutions that have real-world impact across public sector operations.

Duration: Contract (3-4 months, with strong potential for extension or conversion), * Established a clear, actionable AI roadmap aligned with business priorities

• Delivered initial AI solutions that demonstrate measurable value
• Implemented governance frameworks that standardize development and reduce risk
• Built alignment across leadership, engineering, and operational teams

A & Associates is partnering with a high-impact organization supporting large-scale public sector initiatives in Dallas County. This role sits at the center of a critical transformation-modernizing how data, cloud, and AI capabilities are leveraged across a complex enterprise environment., © 2026 Careerjet All rights reserved