Principal AI Engineer

Company Description

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description

We’re building AI systems that don’t sit in demos; they run the business.

This is a Principal-level, hands-on engineering role focused on solving the most complex, high-impact problems and turning them into reliable, production-grade systems. You will operate at the intersection of AI and distributed systems, designing and building solutions that integrate into real workflows across HR, Finance, IT, and Legal.

You are accountable for both how systems are designed and how they perform in production, such as reliability, latency, cost, and failure handling.

This role goes beyond execution. The systems you build and the decisions you make will influence how similar problems are approached across teams, raising the bar for how AI is applied in production.

We’re looking for someone who is deeply hands-on, highly resourceful, and comfortable operating in ambiguity. You connect dots quickly, move from problem to solution without waiting for perfect direction, and take ownership of outcomes, not just code.

If you care about impact, autonomy, and seeing your work run at scale in real environments, this is that role.

This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX.

Key Responsibilities

• Design and build production AI systems end-to-end, from initial concept through deployment and operation
• Own the architecture and implementation of the systems you build, ensuring they are scalable, reliable, and maintainable
• Translate ambiguous, high-impact problems into practical system designs and working solutions
• Drive technical direction through your work, influencing how similar systems are designed and built across teams
• Integrate AI capabilities (LLMs, RAG, agents) into real applications, services, and workflows
• Design and implement services, APIs, and event-driven systems that connect AI with enterprise platforms
• Own system behavior in production, including reliability, latency, cost, and failure handling
• Establish strong observability, evaluation, and feedback loops to continuously improve system performance
• Debug and resolve complex issues across data, models, infrastructure, and application layers
• Raise the bar for engineering quality through hands-on development and technical leadership

Qualifications

Minimum Qualifications

• Bachelor's Degree plus at least 10 years of software engineering experience, or demonstrated equivalency of experience and/or education
• Proven track record of building and operating production software systems (e.g., services, APIs, distributed systems), with AI/LLMs as a core component, not limited to experimentation or modeling
• Strong background in backend or distributed systems engineering (services, APIs, event-driven systems, data pipelines)
• Experience designing and implementing AI-enabled systems (e.g., RAG, agent-based systems) within real applications
• Demonstrated ability to take ambiguous problems and drive them through design, build, and production operation
• Proven ownership of systems in production, including debugging, incident response, and performance optimization
• Ability to influence technical direction through execution and technical depth
• Practical AI mindset, strong curiosity paired with judgment to apply emerging AI capabilities where they deliver real, measurable impact

Preferred Qualifications

• Experience building reusable components or shared capabilities that accelerate development across teams
• Experience integrating with enterprise systems (ERP, HR, CRM, workflow platforms)
• Strong understanding of observability, evaluation, and performance optimization for AI systems
• Experience operating systems under real-world constraints (latency, cost, scale)

Additional Information

• Relocation assistance is not available for this position
• Sponsorship for US work authorization is not available for this position, now or in the future.

About AECOM

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