Senior Enterprise AI Adoption Engineer

The Elevance Health Companies, Inc.

Chicago (IL)

Hybrid

USD 255,000 - 382,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work model
Health benefits
401(k) contribution
Stock purchase plan

Job summary

Elevance Health in Chicago, IL seeks a Distinguished Engineer to accelerate enterprise AI adoption. You will evaluate emerging AI technologies, design reusable frameworks, build prototypes, and enable business units to apply AI to high-value use cases.

The role blends hands-on engineering leadership with cross‑functional collaboration across cloud platforms, APIs, and DevOps. The ideal candidate brings 15+ years of software experience, a bachelor's degree, and deep expertise in Python, Java,

Qualifications

  • Requires a bachelor's degree and 15+ years of software engineering leadership experience.
  • Experience designing, developing, and operating distributed systems and large-scale architectures.
  • Proficiency in Python, Java, and API/microservices design and implementation.

Responsibilities

  • Lead enterprise AI adoption by partnering with business units, engineering teams, and stakeholders.
  • Evaluate AI vendors, platforms, and capabilities through hands-on testing and assessments.
  • Design reusable agentic frameworks, reference architectures, and production-ready patterns.
  • Provide hands-on engineering leadership across cloud platforms, APIs, microservices, and DevOps.
  • Translate business problems into AI-enabled solution designs and scalable deployments.

Skills

Python
Java
Distributed systems
APIs
Microservices
Cloud
DevOps
Leadership

Education

Bachelor's degree in Information Technology, Computer Science, Engineering, or related field

Tools

APIs
Microservices
Cloud platforms
CI/CD

Job description

Elevance Health in Chicago, IL seeks a Distinguished Engineer to accelerate enterprise AI adoption. You will evaluate emerging AI technologies, design reusable frameworks, build prototypes, and enable business units to apply AI to high-value use cases.

The role blends hands-on engineering leadership with cross‑functional collaboration across cloud platforms, APIs, and DevOps. The ideal candidate brings 15+ years of software experience, a bachelor's degree, and deep expertise in Python, Java,

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