Distinguished AI Engineer

Elevance Health•Indianapolis, IN

2d•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. The role architects scalable, resilient AI solutions using technologies such as agentic systems, large language models, distributed systems, and event-driven architectures, and defines enterprise technical direction, architecture patterns, integration standards, and reusable platform capabilities. The engineer leads AI-driven modernization of legacy systems, designs AI-enabled software development lifecycle practices, and establishes technical standards, governance frameworks, and best practices for AI systems. The role also partners with engineering teams and stakeholders to encourage adoption of AI-assisted development, improve system performance and productivity, and provide technical leadership and mentorship while influencing enterprise technology decisions.

Requirements

Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field, or an equivalent combination of education and experience.
At least 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large-scale architectures.
Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages.
Experience designing and implementing APIs, microservices, and event-driven architectures.
Experience applying cloud, CI/CD, and DevOps practices.

Nice To Haves

Experience delivering production-grade AI/ML systems at scale.
Experience building agentic systems or complex LLM-based applications.
Experience modernizing large, complex legacy systems and delivering high-quality systems.
Strong programming expertise in Python, Java, or similar technology.
Deep experience with APIs, microservices, event-driven architectures, cloud platforms, CI/CD, and DevOps practices.
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.

Responsibilities

Architect and deliver scalable, resilient AI solutions using 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 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.