AI Architect

Job Title: AI Architect

Location: Irving, TX

Duration: 2 years

Work Mode: Onsite Work

 

Key Responsibilities

• Identify cloud capabilities and benchmark industry adaptation
• Assess Kubernetes fit
• Review ICS/ACT technologies (Remote Services, Minestar)
• Challenge solutions and drive alternative architecture options
• Partner with GIS, Security, and other teams on solution design
• Evaluate and benchmark AI coding platforms
• Define AI best practices, standards, governance, and adoption frameworks
• Identify and execute AI pilot initiatives (Atlas, Physical AI, enterprise)
• Design agentic, spec-driven, and autonomous development workflows
• Measure developer productivity, quality, SDLC efficiency, and outcomes
• Create reference architectures, implementation patterns, and guidance for AI-native development
• Integrate AI into development lifecycle with architects, managers, product, and platform teams
• Assess security, compliance, and governance for AI coding tools
• Mentor teams on AI tools and modern engineering practices
• Drive velocity, quality, technical debt reduction, and developer experience improvements
• Collaborate with vendors, partners, and stakeholders on emerging capabilities and best practices
• Contribute to engineering strategy, roadmap, technology selection, and long-term AI transformation
• Individual contributor
• Collaborate with: Engineering Directors, Managers, Principal Engineers, Architects, Technical Leads
• Work across: Atlas, Physical AI, Autonomy Services, enterprise engineering
• Partner with: Product Owners, Product Managers, business stakeholders
• Partner with: DevOps, Platform Engineering, Cybersecurity, Enterprise Architecture
• Engage with vendors and AI platform providers
• Lead workshops, architecture discussions, PoCs, enablement activities
• Mentor engineers and technical leads
• Present recommendations, findings, pilot results, roadmaps to senior leadership

 

Required Skills 

• Cursor, Claude Code, or GitHub Copilot (or similar AI coding tools)
• Java/Spring Boot
• Python
• Distributed systems
• APIs and integration services
• Cloud-native platforms
• Software architecture and engineering best practices
• Prompt engineering
• Agentic development workflows
• Engineering metrics and productivity measurement
• Infrastructure and cloud
• Docker, containers, Kubernetes
• IT security, server/storage
• Security standards
• DevOps

 

Technical – Desired

• Specification-driven development
• Robotics, Physical AI, Simulation, or Digital Twin
• AWS or Azure
• Developer experience platforms

 

Soft Skills – Required

• Problem-solving and analytical thinking
• Agile/Scrum team collaboration
• Verbal and written communication
• Cross-functional/distributed team collaboration
• Ambiguity tolerance
• Ownership and accountability
• Technical documentation

 

Soft Skills – Desired

• Mentoring junior engineers
• Technical leadership and design reviews
• Stakeholder management and vendor collaboration
• Continuous improvement
• Global team experience

 

Disqualifiers (Red Flags)

• No hands-on backend development
• Limited API, integration, or distributed systems experience
• Front-end only experience
• No Agile/Scrum experience
• Cannot contribute to cloud-native service development or troubleshooting

 

Required Education (Precise): Bachelor’s degree in Computer Science, Software Engineering, or related field (minimum)

 

Preferred Education: Master’s degree in Computer Science or Software Engineering (preferred)

 

Preferred Certification: TOGAF certification (nice-to-have)