_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. 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.