below marketmost similar roles pay hereabove market
This role pays more than
93%
of similar roles. Most pay
$162,000–$253,812
— the blue band above.
At the midpoint, this role pays about
$336k
versus about
$208k
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
22 open roles
on FindRole.
Listed pay typically runs
$165,693–$166,693
across 7 roles with salary data.
The Distinguished AI Engineer will join the IT Architecture team to lead the design, development, and deployment of production-grade artificial intelligence systems. This role involves architecting scalable solutions using agentic systems, large language models, distributed systems, and event-driven architectures. The engineer will define enterprise technical directions, establish governance frameworks for responsible AI, and lead the modernization of legacy systems through automated code transformation and service decomposition. Key responsibilities include implementing AI-enabled software development lifecycle practices and providing technical mentorship. Candidates must possess deep expertise in Python, Java, APIs, microservices, cloud platforms, and CI/CD or DevOps practices. The position focuses on solving complex technical problems by creating reusable platform capabilities and driving enterprise-wide innovation through high-quality, large-scale AI and machine learning system integration.
What does a AI Engineer earn in California?
Median $246150 from 99 postings across 16 companies.
Architect and deliver scalable, resilient AI solutions using agentic systems, LLMs, 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, governance frameworks, and best practices for monitoring and responsible AI.
Partner with engineering teams to drive the adoption of AI-assisted development and system performance improvements.
Provide technical leadership and mentorship while influencing enterprise technology decisions through hands-on engineering.
What we're looking for
Requires a Bachelor’s degree in Computer Science, Information Technology, or a related field.
Requires a minimum of 15 years of experience in software engineering, deep expertise in distributed systems and large-scale architecture, or an equivalent combination.
Requires experience delivering production-grade AI/ML systems at scale, building agentic systems, or complex LLM-based applications.
Requires experience modernizing large, complex legacy systems and delivering high-quality systems.
Requires strong programming expertise in Python, Java, or similar languages.
Requires deep experience with APIs, microservices, event-driven architectures, cloud platforms, and CI/CD and DevOps practices.
Advanced experience designing and leading distributed systems and large-scale architectures is strongly preferred.
Experience establishing enterprise technology standards and influencing technical direction across multiple teams or business domains is 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
Machine Learning
Agent Engineering
Deep Learning
Foundation Models
Retrieval
Agent Orchestration
Experimental Design
Statistical Learning
Evaluation Systems
Systems Engineering