Distinguished Engineer

Elevance Health

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Atlanta, GAIndianapolis, INMason, OH
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $225k

$155k $298k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,750–$273,050.

Based on 240 similar postings.

Employer

About Elevance Health

Elevance Health (formerly Anthem, Inc.) is a leading American managed healthcare company and the largest for-profit entity in the Blue Cross Blue Shield Association, serving approximately 115 million people through health plans and Carelon services.

Elevance Health currently has 21 open roles on FindRole.

Listed pay typically runs $165,693–$166,693 across 7 roles with salary data.

Most-posted roles

View all roles at Elevance Health

At a glance

TL;DR · Distinguished Engineer

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The Distinguished Engineer leads the design, development, and deployment of large-scale, production-grade artificial intelligence systems and platforms to drive enterprise-wide modernization. This role involves architecting scalable solutions using agentic systems, large language models, distributed systems, and event-driven architectures. Key responsibilities include defining technical directions, leading AI-driven modernization of legacy systems through automated code transformation, and establishing governance frameworks for responsible AI. The successful candidate will utilize Python, Java, and other object-oriented programming languages while applying cloud, CI/CD, and DevOps practices. The work focuses on solving complex technical problems within healthcare payer and provider ecosystems, specifically addressing provider onboarding, credentialing, contracting, and data management. This position requires deep expertise in building reusable platform capabilities and mentoring engineering teams to improve software development lifecycle quality.

What does a Engineer earn?

Median $178175 from 251 postings across 54 companies.

See salary data

Skills

Python Java Large Language Models Agentic Systems Distributed Systems Event-Driven Architecture Microservices APIs CI/CD DevOps Generative AI SDLC Data Architecture Object-Oriented Programming

What you'll do

Architect and deliver scalable, production-grade AI solutions using LLMs, agentic systems, and distributed architectures.
Define enterprise-wide technical directions including architecture patterns, integration standards, and reusable platform capabilities.
Lead the modernization of legacy systems through automated code transformation and service decomposition.
Design and implement AI-enabled software development lifecycle practices to improve engineering velocity.
Establish technical standards and governance frameworks for AI monitoring, evaluation, and responsible AI.
Write and optimize high-quality production code while mentoring senior engineers on engineering best practices.
Translate complex business processes and end-to-end journeys into scalable, practical technology solutions.
Communicate complex technical strategies and tradeoffs to senior executives to influence enterprise-level decisions.

What we're looking for

Requires a Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.
Requires a minimum of 15 years of experience in software engineering, including leading, designing, implementing, and operating distributed systems.
Requires experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages.
Requires experience designing and implementing APIs, microservices, and event-driven architectures.
Requires experience applying cloud, CI/CD, and DevOps practices.
Requires experience across healthcare payer and provider ecosystems (preferred).
Requires deep understanding of AI, generative AI, agentic systems, LLMs, and modern data architectures (preferred).
Requires ability to communicate complex technical concepts to senior executives and influence enterprise decisions (preferred).

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