Senior AI Architect (Hybrid) — Enterprise GenAI & ML

Elevance Health, Inc.

Indianapolis (IN)

Hybrid

USD 180,000 - 280,000

Full time

47 hours ago
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Job summary

Elevance Health, Inc. seeks a Distinguished AI Engineer to lead enterprise AI initiatives across machine learning, generative AI, and AI agents.

The role emphasizes hands-on development with architecture influence, scalable AI services, and cross-team collaboration. The ideal candidate combines deep technical expertise with business acumen, guiding buy/build decisions and modernizing AI deployment at scale within a Fortune 100 environment.

Qualifications

  • Bachelor’s degree plus 15+ years in software engineering or equivalent
  • Proven production-grade AI/ML systems at scale
  • Strong programming in Python/Java
  • Experience with APIs, microservices, event-driven architectures, and CI/CD
  • Experience with AI agents, LLMs, and GenAI preferred

Responsibilities

  • Design, develop, and deploy enterprise AI solutions across ML, GenAI, and agentic AI systems
  • Architect scalable, resilient AI solutions using LLMs, distributed systems, and event-driven architectures
  • Lead as a technical leader and SME across the AI development lifecycle
  • Build reusable AI services, frameworks, accelerators, and reference architectures
  • Translate business opportunities into scalable AI solutions with cross-functional teams
  • Guide architecture, model selection, evaluation, deployment, and operations of AI solutions
  • Mentor junior AI engineers and elevate the organization’s AI capabilities
  • Establish technical standards, governance, and responsible AI practices

Skills

Distributed systems
Large-scale architecture
AI/ML systems
Python/Java
APIs & microservices
CI/CD & DevOps
LLM & GenAI
Productionization

Education

Bachelor’s degree in Computer Science / Information Technology or related field

Tools

Cloud platforms

Job description

Elevance Health, Inc. seeks a Distinguished AI Engineer to lead enterprise AI initiatives across machine learning, generative AI, and AI agents.

The role emphasizes hands-on development with architecture influence, scalable AI services, and cross-team collaboration. The ideal candidate combines deep technical expertise with business acumen, guiding buy/build decisions and modernizing AI deployment at scale within a Fortune 100 environment.

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