Senior Enterprise AI Architect

Elevance Health; Virginia (MN); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Elevance Health is seeking a Distinguished AI Engineer to lead the design, development, and deployment of production-grade AI systems across the enterprise. The role supports a hybrid work model with in-office collaboration three days per week and alternates locations within commuting distance where appropriate.

You will define architectural direction, drive modernization of legacy systems, and establish AI governance and SDLC practices while mentoring engineers and advancing AI-enabled

Qualifications

• Requires a Bachelor’s degree in Computer Science, Information Technology, or related field and a minimum of 15 years of experience in software engineering, distributed systems and large-scale architecture.
• Experience delivering production-grade AI/ML systems at scale and modernization of legacy systems preferred.
• Strong programming expertise in Python, Java, or similar technology preferred.
• Experience establishing enterprise technology standards and influencing technical direction across multiple teams.

Responsibilities

• Architect and deliver scalable AI solutions using agentic systems, LLMs, distributed systems, and event-driven architectures.
• Define enterprise-wide technical direction, including architecture patterns and reusable platform capabilities.
• Lead AI-driven modernization of legacy systems and automated code transformation.
• Design and implement AI-enabled SDLC practices to improve velocity and quality.
• Establish governance for AI systems, including monitoring and responsible AI practices.
• Mentor engineering teams and influence enterprise technology decisions.

Skills

Agentic systems

LLMs

Distributed systems

Event-driven architectures

Python

Java

APIs

Microservices

Cloud platforms

DevOps

Education

Bachelor's degree in Computer Science / IT

Tools

CI/CD

DevOps practices

Cloud platforms

Job description

Elevance Health is seeking a Distinguished AI Engineer to lead the design, development, and deployment of production-grade AI systems across the enterprise. The role supports a hybrid work model with in-office collaboration three days per week and alternates locations within commuting distance where appropriate.

You will define architectural direction, drive modernization of legacy systems, and establish AI governance and SDLC practices while mentoring engineers and advancing AI-enabled