Distinguished Engineer

Elevance Health•Atlanta, GA

1d•Hybrid

About The Position

The Distinguished Engineer leads the design, development, and deployment of large-scale, production-grade artificial intelligence systems and platforms to enable enterprise-wide innovation and modernization. The role provides hands-on technical leadership and helps shape enterprise technology direction, architecture, and engineering practices. This is a hybrid role requiring associates to work in-office three days per week. Candidates must live within a reasonable commuting distance of an office, unless an accommodation is granted as required by law. Alternate locations may be considered for candidates within commuting distance of an office. The position is classified as Non-Management Exempt within the IT Architecture job family. It is not eligible for current or future visa sponsorship.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field, and at least 15 years of experience in software engineering with deep expertise in distributed systems and large-scale architecture; or an equivalent combination of education and experience.
The position is not eligible for current or future visa sponsorship.
Candidates must be within a reasonable commuting distance of an office, unless an accommodation is granted as required by law.

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 languages.
Deep experience with APIs, microservices, and event-driven architectures.
Experience with cloud platforms, 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 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 support adoption of AI-assisted development and continuously improve system performance and productivity.
Provide technical leadership and mentorship, and influence enterprise technology decisions through deep expertise and hands-on engineering.