Distinguished Engineer

Elevance Health•Atlanta, GA

2d•Hybrid

About The Position

The Distinguished Engineer leads the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization. The role combines hands-on software engineering with enterprise technical leadership, strategic influence, mentorship, and cross-functional collaboration. The position is hybrid and requires associates to work in-office three days per week. Candidates must live within a reasonable commuting distance of a posting location, 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 not eligible for current or future visa sponsorship.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, and at least 15 years of software engineering experience; an equivalent combination of education and experience may be considered.
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

Exceptional software engineering expertise, including architecting, writing, optimizing, and delivering high-quality production code.
Ability to set high standards for engineering practices, technical judgment, code quality, and productivity.
Deep understanding of AI, generative AI, agentic systems, LLMs, intelligent automation, and modern data architectures.
Hands-on experience applying emerging technologies to production-ready solutions that improve business outcomes, operational efficiency, customer experiences, and decision-making.
Ability to understand complex business domains and connect business processes, products, data, systems, and technology across organizational boundaries.
Experience building and evolving enterprise technology capabilities as products, with a focus on scalability, simplicity, engineering efficiency, and measurable business value.
Healthcare payer and provider ecosystem experience, ideally involving provider onboarding, credentialing, contracting, provider data management, network management, provider performance, interoperability, or related healthcare capabilities.
Proven ability to own complex initiatives, navigate ambiguity and organizational complexity, and deliver measurable results.
Exceptional communication skills with senior executives, including explaining strategy and tradeoffs and influencing enterprise decisions without direct authority.
Proven ability to mobilize diverse teams, build trusted cross-functional partnerships, and drive shared accountability.

Responsibilities

Architect and deliver scalable, resilient AI solutions using 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 improve system performance and productivity.
Provide technical leadership and mentorship and influence enterprise technology decisions through deep expertise and hands-on engineering.
Personally design, build, optimize, and deliver production-grade software solutions.
Mentor senior engineers, develop technical talent, and build organizational engineering capabilities.
Translate business processes, products, data, systems, and enterprise challenges into scalable, practical technology solutions.
Build and evolve enterprise technology capabilities as products, including long-term vision, roadmaps, reusable platforms, architectural standards, and investment priorities.
Drive complex technology initiatives from business problem definition and architecture through development, implementation, production deployment, and measurable outcomes.
Communicate technical and business concepts to senior executives, influence enterprise decisions, and build alignment around strategic priorities.
Build partnerships across business, product, engineering, architecture, data, operations, security, and other enterprise functions.