IT Architect

Pay rate: $90.00 - $91.00/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law.

About the role

Seeking a Principal AI Software Engineering Lead to drive adoption of AI-powered software engineering platforms and agentic development capabilities across enterprise engineering teams. 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.

This role 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.

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 Atlas, Physical AI, and 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.
• Work closely 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 across the company.

Requirements

• 5+ years of experience
• Master’s or Bachelor’s degree in Computer Science, Software Engineering
• Master’s degree in Computer Science, Software Engineering with 3 years of experience
• Associate’s degree with 9 years of experience

Skills

Top 3 Skills:

• AI-Assisted Software Engineering & Developer Productivity
• Backend/Platform Engineering (Java, Python, APIs, Cloud)
• Technical Leadership, Architecture & Engineering Transformation

Additional Technical Skills:

• Cursor, Claude Code, GitHub Copilot or similar AI coding tools
• Java/Spring Boot and Python development
• Distributed systems, APIs, cloud-native platforms
• Software architecture and engineering best practices
• Prompt engineering and agentic development workflows
• Engineering metrics and productivity measurement
• Spec-driven development
• Robotics, Physical AI, Simulation or Digital Twin exposure
• AWS/Azure cloud platforms
• Developer experience platforms and DevOps

Soft Skills:

• 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
• Experience mentoring junior engineers
• Technical leadership and design review experience
• Stakeholder management and vendor collaboration
• Continuous improvement mindset
• Experience working with global teams

Benefits

• Medical, dental, and vision benefits
• Health savings accounts with qualified medical plan enrollment
• 10 paid days off
• 3 days paid bereavement leave
• 401(k) plan participation with employer match
• Life and disability insurance
• Commuter benefits
• Dependent care flexible spending account
• Accident insurance
• Critical illness insurance
• Hospital indemnity insurance
• Accommodations and reimbursement for work travel
• Discretionary performance or recognition bonus
• Sick leave and mobile phone reimbursement provided based on state or local law