Hybrid AI Architect for Enterprise-Scale LLM Systems

Elevance Health (Anthem)

Indianapolis (IN)

Hybrid

USD 255,000 - 417,000

Full time

7 days ago
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Benefits offered by this job

Comprehensive benefits package
Equity stock purchase program
401(k) contribution

Job summary

Elevance Health seeks a Distinguished AI Engineer to lead the design, development, and deployment of large-scale AI systems enabling enterprise-wide modernization. You will drive distributed architectures, AI-enabled SDLC practices, and set technical direction across teams.

The role requires deep expertise in AI/ML at scale, strong Python/Java programming, APIs, microservices, cloud platforms, and DevOps. In-office 3 days per week with hybrid options and flexible location within commuting

Qualifications

  • Requires Bachelor's degree in Computer Science, Information Technology, or related field.
  • 15+ years of software engineering experience with distributed systems and large-scale architecture.
  • Production-grade AI/ML systems experience with agentic or LLM-based applications.

Responsibilities

  • Lead design, development, and deployment of large-scale AI systems for enterprise modernization.
  • Define enterprise AI direction, architecture patterns, and platform capabilities.
  • Mentor engineers and partner with stakeholders to drive AI adoption and system performance.

Skills

Python
Java
Distributed systems
Large-scale architecture
APIs design
CI/CD
DevOps

Education

Bachelor's degree in Computer Science or related field

Tools

Cloud platforms
Microservices

Job description

Elevance Health seeks a Distinguished AI Engineer to lead the design, development, and deployment of large-scale AI systems enabling enterprise-wide modernization. You will drive distributed architectures, AI-enabled SDLC practices, and set technical direction across teams.

The role requires deep expertise in AI/ML at scale, strong Python/Java programming, APIs, microservices, cloud platforms, and DevOps. In-office 3 days per week with hybrid options and flexible location within commuting

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