Role: AI Architect Job Title: AI Architect Location: Irving, TX Work Model: Onsite Duration: 26 Mon

Must-Have Skills

• Cloud
• DevOps
• Java
• Python

Position Overview

We are seeking an experienced AI Architect to lead the adoption of AI-driven software engineering practices and modern development workflows. The ideal candidate will have strong expertise in Java, Python, cloud-native architectures, distributed systems, DevOps, and AI-assisted development tools. This role will drive AI strategy, establish engineering standards, evaluate AI platforms, and collaborate with cross-functional teams to modernize the software development lifecycle while improving developer productivity and software quality.

Required Education

One of the following is required:

• Bachelor's degree in Computer Science, Software Engineering, or a related field with 5+ years of relevant experience
• Master's degree in Computer Science, Software Engineering, or a related field with 3+ years of relevant experience
• Associate's degree with 9+ years of relevant experience

Note: Internship experience will not be considered toward the required experience.

Preferred Education

• Master's degree in Computer Science or Software Engineering

Preferred Certification

• TOGAF Certification (Nice to Have)

Required Technical Skills

• AI coding platforms such as Cursor, Claude Code, GitHub Copilot, or similar tools
• Java and Spring Boot
• Python
• Distributed Systems
• REST APIs and Integration Services
• Cloud-Native Application Development
• Software Architecture and Engineering Best Practices
• Prompt Engineering
• Agentic AI Development Workflows
• Engineering Metrics and Productivity Measurement
• Cloud Infrastructure
• Docker, Containers, and Kubernetes
• IT Infrastructure (Servers & Storage)
• Security Standards and Best Practices
• DevOps Methodologies and CI/CD

Preferred Technical Skills

• Specification-Driven Development
• Robotics, Physical AI, Simulation, or Digital Twin technologies
• AWS or Azure Cloud Platforms
• Developer Experience (DevEx) Platforms

Required Soft Skills

• Strong analytical and problem-solving skills
• Excellent verbal and written communication
• Agile/Scrum development experience
• Cross-functional and distributed team collaboration
• Ability to work in ambiguous environments
• Ownership and accountability
• Technical documentation and architecture documentation

Preferred Soft Skills

• Mentoring and coaching junior engineers
• Technical leadership and architecture reviews
• Stakeholder and vendor management
• Continuous process improvement
• Experience working with global engineering teams

Key Responsibilities

• Evaluate cloud technologies and benchmark industry best practices.
• Assess Kubernetes adoption and cloud-native architecture strategies.
• Review existing ICS/ACT technologies, including Remote Services and Minestar.
• Challenge existing solutions and recommend alternative architectural approaches.
• Partner with GIS, Security, Platform Engineering, and Enterprise Architecture teams to design scalable solutions.
• Evaluate AI-assisted coding platforms and emerging AI technologies.
• Define AI engineering standards, governance, best practices, and enterprise adoption strategies.
• Identify, plan, and execute AI pilot initiatives across enterprise platforms, Atlas, and Physical AI programs.
• Design agentic, specification-driven, and autonomous software development workflows.
• Measure engineering productivity, software quality, SDLC efficiency, and developer experience.
• Develop reference architectures, implementation patterns, and AI-native engineering guidelines.
• Integrate AI capabilities throughout the software development lifecycle in collaboration with engineering, product, and platform teams.
• Evaluate AI solutions for security, compliance, governance, and enterprise readiness.
• Mentor engineering teams on AI tools, modern software engineering practices, and cloud-native development.
• Drive improvements in engineering velocity, software quality, technical debt reduction, and developer productivity.
• Collaborate with technology vendors and AI platform providers to evaluate emerging capabilities and best practices.
• Contribute to long-term engineering strategy, technology roadmaps, platform selection, and enterprise AI transformation initiatives.
• Function as an individual contributor while providing technical leadership across multiple engineering teams.
• Lead architecture reviews, technical workshops, proof-of-concepts (PoCs), and enablement sessions.
• Present architectural recommendations, pilot outcomes, and strategic roadmaps to senior leadership.

Key Stakeholders

The AI Architect will collaborate closely with:

• Engineering Directors, Managers, Principal Engineers, Architects, and Technical Leads
• Product Owners and Product Managers
• Business Stakeholders
• DevOps and Platform Engineering Teams
• Cybersecurity Teams
• Enterprise Architecture Teams
• AI Platform Vendors and Technology Partners

Disqualifiers (Red Flags)

Candidates will not be considered if they have:

• No hands-on backend development experience
• Limited experience with APIs, system integration, or distributed systems
• Front-end development experience only
• No Agile/Scrum experience
• No experience developing or troubleshooting cloud-native services