below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$171,875–$256,000.
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
29 open roles
on FindRole.
Listed pay typically runs
$112,640–$166,693
across 11 roles with salary data.
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, and establishing governance frameworks for responsible AI. The candidate will utilize Python, Java, and cloud-native technologies to build microservices and APIs. Expertise is required in agent frameworks like LangChain, vector databases, RAG, and LLMOps. The work focuses on complex domain problems including healthcare data, clinical interoperability using FHIR/HL7, and semantic knowledge architectures. You will solve technical challenges by connecting clinical, member, and provider data to enable trustworthy natural-language analytics and intelligent automation.
What does a Engineer earn?
Median $185000 from 238 postings across 60 companies.
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.
Build and maintain cloud-native enterprise data platforms, including lakehouses and knowledge graphs.
Implement natural-language analytics and RAG systems that query and reason over governed enterprise data.
Provide hands-on engineering leadership and mentorship to influence enterprise technology 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, and operating distributed systems and large-scale architectures.
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 using cloud, CI/CD, and DevOps practices.
Requires deep understanding of AI, generative AI, agentic systems, LLMs, and modern data architectures (preferred).
Requires experience with multi-agent coordination, planning, and memory architecture (preferred).
Requires expertise in cloud-native enterprise data platforms, lakehouse architectures, and semantic/knowledge architectures (preferred).
Requires experience with healthcare data, clinical interoperability (FHIR/HL7), and medical cost management (preferred).
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
AWS
Microsoft Azure
Google Cloud
Java
Python
Go
JavaScript
TypeScript
Swift
Machine Learning
Platform Engineering
Enterprise Architecture
Observability
Cloud Computing
AWS
Microsoft Azure
Google Cloud
Python
Java
Go
JavaScript
TypeScript
Swift
Machine Learning
AI
Data Architecture
Solution Architecture
Enterprise Architecture
SPA Frameworks
Cloud Computing
Full ML Development Lifecycle