Principal AI Software Engineering Lead Job Irving area,Texas USA,Software Development

Job Title:

Principal AI Software Engineering Lead

Location:

Irving, TX, 75038 (Onsite)
Duration: 26 months contract

Preferred locals to TX.

Only those lawfully authorized to work in the designated countryassociated with the position will be considered.

Must Have Skills/Attributes:
Cloud, Dev Ops, Java, Python.

Experience Desired : AI-Assisted Software Engineering & Developer Productivity (7 yrs);
Backend/Platform Engineering(7 yrs);
Backend/Platform Engineering (7 yrs);
Software Architecture &Technical Leadership (7 yrs);
Software Architecture & Technical Leadership(7 yrs)
Required

Minimum Education :

Bachelor’s Degree.

Preferred Education :
Master’s Degree.

JOB DESCRIPTION:

Required Education (Precise):

Bachelor’s degreein Computer Science, Software Engineering, or related field (minimum).
Master’s + 3 years
Bachelor’s + 5+ years
Associate’s + 9 years
Internships notaccepted as experience.

Preferred Education:

Master’s degree in Computer Science or Software Engineering (preferred).

Preferred Certification:

TOGAF certification(nice-to-have).

Required Skills:

Cursor, Claude Code, or Git Hub Copilot (or similar AIcoding tools).
Java/Spring Boot
APIs and integration services
Software architecture and engineering best practices
Agentic development workflows
Engineering metrics and productivity measurement
Infrastructure and cloud
Security standards

Technical – Desired:

Robotics, Physical AI, Simulation, or Digital Twin.

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.
Mentoring junior engineers.
Technical leadership and design reviews
Stakeholder management and vendor collaboration.
Global team experience.
Limited API,integration, or distributed systems experience.
Front-end only experience.
Cannot contribute to cloud-native service development or troubleshooting.

Key Responsibilities:

Identify cloudcapabilities and benchmark industry adaptation.
Assess Kubernetesfit.
Challenge solution sand drive alternative architecture options.
Partner with GIS,Security, and other teams on solution design.
Evaluate andbenchmark 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 developerproductivity, quality, SDLC efficiency, and outcomes.
Create referencearchitectures, 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 AItools 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 toengineering strategy, roadmap, technology selection, and long-term AItransformation.
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:

Dev Ops, 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.

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