Distinguished AI Engineer

Distinguished AI Engineer

This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.

The Distinguished AI Engineer will be responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization.

How you will make an impact:

• Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures.
• Define enterprise-wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities.
• Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization.
• Design and implement AI-enabled software development lifecycle (SDLC) practices to improve engineering velocity and quality.
• Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI.
• Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity.
• Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering.

Minimum Requirements:

• Requires a Bachelor's degree in Computer Science, Information Technology, or related field and a minimum of 15 years of experience in software engineering, deep expertise in distributed systems and large-scale architecture, or any combination of education and experience, which would provide an equivalent background.
• Experience delivering production-grade AI/ML systems at scale, building agentic systems or complex LLM-based applications, modernizing large, complex legacy systems, and delivering high-quality systems also required.
• Strong programming expertise in Python, Java, or similar required.
• Deep experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices required.

Preferred Skills, Capabilities and Experiences:

• Advanced experience designing and leading distributed systems and large-scale architectures is strongly preferred.
• Experience establishing enterprise technology standards and influencing technical direction across multiple teams or business domains is preferred.
• Experience serving as a technical authority for software engineering practices, architecture, platform strategy, and modern application architectures, including APIs, microservices, cloud technologies, and DevOps practices, is strongly preferred.
• Experience delivering production-grade AI/ML systems at scale, building agentic systems or complex LLM-based applications, modernizing large, complex legacy systems, and delivering high-quality systems is preferred.
• Strong programming expertise in Python, Java, or similar technology is preferred.
• Deep experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices is preferred.

For candidates working in person or virtually in the below location, the salary range for this specific position is $254,584 to $416,592.

Location: California, Washington, Illinois.