Principal AI Software Engineering Lead

Diversified Services Network, Inc.•Irving, TX

1d•$160,000 - $165,000•Onsite

About The Position

Diversified Services Network, Inc. (DSN) is seeking a full-time Principal AI Software Engineering Lead to join our team in Irving, TX (fully onsite). We offer full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk! Position Overview We are seeking a Principal AI Software Engineering Lead to drive adoption of AI-powered software engineering platforms and agentic development capabilities across enterprise engineering teams. This role's primary focus is AI-assisted software development, engineering productivity transformation, developer tooling strategy, and autonomous engineering workflows leveraging platforms such as Cursor, Claude Code, GitHub Copilot, and emerging AI coding agents. The Principal AI Software Engineering Lead will establish AI engineering standards, evaluation frameworks, governance, and best practices while partnering with engineering teams to accelerate software delivery, improve quality, and enhance developer productivity. Strong experience in software architecture, cloud-native platforms, backend engineering, distributed systems, and AI-assisted development workflows is required. Key Focus Areas: • AI Coding Platforms (Cursor, Claude Code, GitHub Copilot, etc.) • Agentic Software Development & Specification-Driven Development • Engineering Productivity & Developer Experience • Software Architecture & Technical Leadership • AI Evaluation, Governance & Adoption Strategy • Cloud-Native Platforms, APIs & Distributed Systems • Software Quality, Security & SDLC Modernization

Requirements

5+ years of relevant experience
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field OR Master's degree with 3 years of experience OR Associate's degree with 9 years of experience
AI-Assisted Software Engineering & Developer Productivity
Backend/Platform Engineering (Java, Python, APIs, Cloud)
Technical Leadership, Architecture & Engineering Transformation
Cursor, Claude Code, GitHub Copilot, or similar AI coding tools
Java/Spring Boot and Python development
Distributed systems, APIs, and cloud-native platforms
Software architecture and engineering best practices
Prompt engineering and agentic development workflows
Engineering metrics and productivity measurement
Strong problem-solving and analytical skills
Ability to work effectively in Agile/Scrum teams
Strong verbal and written communication skills
Collaboration across distributed and cross-functional teams
Ability to work in ambiguous and evolving environments
Ownership mindset with accountability for delivery
Strong technical documentation skills

Nice To Haves

Spec-driven development
Robotics, Physical AI, simulation, or digital twin exposure
AWS/Azure cloud platforms
Developer experience platforms and DevOps
Experience mentoring junior engineers
Technical leadership and design review experience
Stakeholder management and vendor collaboration
Continuous improvement mindset
Experience working with global teams

Responsibilities

Evaluate and benchmark AI software engineering platforms, including Cursor, Claude Code, GitHub Copilot, and emerging agentic development tools
Define and implement AI-assisted software engineering best practices, standards, governance, and adoption frameworks
Partner with engineering teams to identify and execute high-value AI pilot initiatives across enterprise software development
Design and promote agentic development workflows, specification-driven development, and autonomous engineering practices
Measure and analyze developer productivity, software quality, SDLC efficiency, and engineering outcomes using data-driven metrics
Create reference architectures, implementation patterns, and engineering guidance for AI-native software development
Collaborate with software architects, engineering managers, product teams, and platform teams to integrate AI capabilities into the development lifecycle
Evaluate security, compliance, and governance considerations related to AI coding tools and developer workflows
Mentor engineering teams on effective use of AI-powered development tools and modern software engineering practices
Drive continuous improvement initiatives focused on accelerating delivery velocity, improving code quality, reducing technical debt, and enhancing developer experience
Collaborate with vendors, strategic partners, and internal stakeholders to assess emerging AI engineering capabilities and industry best practices
Contribute to engineering strategy, roadmap planning, technology selection, and long-term AI transformation initiatives