Distinguished AI Engineer

Elevance Health•Indianapolis, IN

22h•Hybrid

About The Position

The Distinguished AI Engineer leads the design, development, and deployment of large-scale, production-grade artificial intelligence systems and platforms that enable enterprise-wide innovation and modernization. This hybrid role requires associates to work in an office three days per week. Alternate locations may be considered for candidates within commuting distance of an office; candidates outside a reasonable commuting distance are generally not considered unless an accommodation is granted as required by law. The role provides enterprise technical direction, hands-on engineering leadership, and mentorship. It shapes architecture patterns, integration standards, reusable platform capabilities, AI governance, and AI-enabled software development practices. The engineer partners with teams and stakeholders to drive adoption, improve system performance and engineering productivity, and modernize legacy systems. The position requires a bachelor's degree in a relevant field and at least 15 years of qualifying software engineering experience, or an equivalent combination of education and experience. For candidates working in person or virtually in California, Washington, or Illinois, the stated salary range is $254,584 to $416,592. Elevance Health also offers a comprehensive benefits package, subject to eligibility requirements. The anticipated end date listed for the posting is October 31, 2026.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field, plus at least 15 years of experience in software engineering and deep expertise in distributed systems and large-scale architecture, or an equivalent combination of education and experience.
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.
Strong programming expertise in Python, Java, or similar.
Deep experience with APIs, microservices, event-driven architectures, cloud platforms, and CI/CD and DevOps practices.

Nice To Haves

Advanced experience designing and leading distributed systems and large-scale architectures.
Experience establishing enterprise technology standards and influencing technical direction across multiple teams or business domains.
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.
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.
Strong programming expertise in Python, Java, or similar technology.
Deep experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices.

Responsibilities

Architect and deliver scalable, resilient AI solutions using technologies such as agentic systems, large language models, 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, and influence enterprise technology decisions through deep expertise and hands-on engineering.