Distinguished Engineer, AI Adoption

Elevance Health

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILAtlanta, GATampa, FLMason, OH
Salary
$254,584–$381,876 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $318k
$129k most similar roles pay here $409k

This role pays more than 87% of similar roles. Most pay $162,000–$259,500 — the shaded band above. At the midpoint, this role pays about $318k versus about $211k for comparable roles.

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 3 open roles on FindRole.

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At a glance

TL;DR · Distinguished Engineer, AI Adoption

The Distinguished Engineer - AI Adoption serves as a hands-on technical leader responsible for accelerating enterprise adoption of artificial intelligence. This role involves evaluating emerging AI technologies, designing reusable frameworks, and developing prototypes to help business units safely implement high-value use cases. You will collaborate with internal teams and external vendors to assess capabilities, establish decision matrices, and define engineering patterns for LLM applications, agentic workflows, retrieval-augmented generation, and automation. The role requires expertise in Python or Java, as well as experience with microservices, event-driven architectures, and modern DevOps practices. You will build technical accelerators and reference architectures while navigating complex requirements like security, scalability, and Responsible AI considerations. This position solves the challenge of moving AI from experimentation to production by creating scalable patterns across cloud platforms and enterprise systems.

What does a Engineer earn?

Median $185000 from 231 postings across 56 companies.

See salary data

What you'll do

  • Evaluate emerging AI technologies, vendor platforms, and foundation models through hands-on testing and technical assessments.
  • Translate business problems into technical designs for LLM applications, agentic workflows, and RAG systems.
  • Develop prototypes, proof of concepts, and technical accelerators to validate AI ideas and move them toward production.
  • Create reusable engineering patterns, reference architectures, and design frameworks for enterprise-wide AI adoption.
  • Establish decision matrices and evaluation criteria to select the best tools based on cost, performance, and security.
  • Define enterprise standards for API patterns, model selection, guardrails, and deployment models.
  • Provide hands-on technical leadership in building AI solutions across cloud platforms and microservices.
  • Communicate complex trade-offs and strategic recommendations regarding AI investments to senior technology and business leaders.

What we're looking for

  • Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.
  • Minimum of 15 years of experience in software engineering including distributed systems and large-scale architectures.
  • Experience developing software solutions using Python, Java, or comparable object-oriented programming languages.
  • Experience designing and implementing APIs, microservices, event-driven architectures, and applying cloud, CI/CD, and DevOps practices.
  • Experience evaluating and implementing AI solutions from multiple vendors, including foundation models and orchestration frameworks (preferred).
  • Strong understanding of AI adoption strategies, including use case discovery and production-readiness planning (preferred).
  • Experience developing agentic AI frameworks, RAG patterns, and workflow automation (preferred).
  • Proven ability to influence executives and stakeholders through technical credibility and clear communication (preferred).

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