Distinguished AI Engineer & Large-Scale Systems Architect

Elevance Health

Indianapolis (IN)

Ibrido

USD 255.000 - 417.000

Tempo pieno

5 giorni fa
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Vantaggi offerti da questo lavoro

Comprehensive benefits package
Equity stock purchase
401k contribution

Descrizione del lavoro

Elevance Health in the United States seeks a Distinguished AI Engineer to lead the design, development, and deployment of large-scale, production-grade AI systems across the enterprise. You will architect scalable AI solutions, define architecture patterns, and drive modernization through automated transformations while mentoring engineers and influencing tech strategy.

Location expectations include hybrid in-office 3 days/week with flexibility; alternate locations may be considered within

Competenze

  • 15+ years of software engineering experience or equivalent background.
  • Production-grade AI/ML systems experience at scale, with agentic systems or large language models.
  • Strong programming expertise in Python, Java, or similar.

Mansioni

  • Architect and lead design of scalable AI solutions across the enterprise.
  • Define enterprise-wide technical direction, architecture patterns, and integration standards.
  • Modernize legacy systems through automated code transformation and service decomposition.
  • Design AI-enabled SDLC practices to improve velocity and quality.
  • Establish governance, monitoring, and responsible AI practices.

Conoscenze

Distributed systems
Large-scale architecture
Python
Java
APIs & Microservices
Cloud platforms
CI/CD & DevOps

Formazione

Bachelor’s degree in Computer Science / IT or related field

Descrizione del lavoro

Elevance Health in the United States seeks a Distinguished AI Engineer to lead the design, development, and deployment of large-scale, production-grade AI systems across the enterprise. You will architect scalable AI solutions, define architecture patterns, and drive modernization through automated transformations while mentoring engineers and influencing tech strategy.

Location expectations include hybrid in-office 3 days/week with flexibility; alternate locations may be considered within

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