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Elevance Health

Sells health insurance and pharmacy benefits

Distinguished Engineer - AI Adoption

AI Application EngineeringPosted on Nov 12
Full-time

About the Job

Requirements

  • A bachelor's degree in Information Technology, Computer Science, Engineering, or a related field, or an equivalent combination of education and experience.
  • At least 15 years of experience in software engineering, including leading, designing, implementing, and operating distributed systems and large-scale architectures.
  • Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages.
  • Experience designing and implementing APIs, microservices, and event-driven architectures, and applying cloud, continuous integration/continuous delivery, and DevOps practices.

Responsibilities

  • Lead enterprise AI adoption by partnering with business units, engineering teams, product leaders, architecture, security, legal, compliance, and procurement to identify, evaluate, and implement practical AI solutions.
  • Partner with business units to translate business problems into AI-enabled solution designs, including agentic workflows, large language model applications, retrieval-augmented generation, automation, decision support, and AI-assisted engineering capabilities.
  • Evaluate AI vendors, platforms, foundation models, agentic tools, orchestration frameworks, and emerging AI capabilities through hands-on testing, proof of concepts, benchmarks, and technical assessments.
  • Establish decision matrices and evaluation criteria to help teams select AI tools, models, platforms, and vendors based on use case fit, cost, performance, security, scalability, integration complexity, reliability, compliance, and Responsible AI considerations.
  • Design and build reusable agentic frameworks, reference architectures, design patterns, prompts, orchestration approaches, and integration models that business units can adopt and extend.
  • Develop prototypes, proof of concepts, and technical accelerators that demonstrate new AI ideas, validate business value, reduce uncertainty, and create a path from experimentation to production.
  • Define enterprise-wide AI adoption patterns, including vendor integration standards, API patterns, model selection guidance, data access approaches, observability, guardrails, evaluation practices, and deployment models.
  • Provide hands-on engineering leadership in building and testing AI solutions across cloud platforms, enterprise systems, APIs, microservices, event-driven architectures, and modern DevOps environments.
  • Stay current on the AI vendor landscape, emerging model capabilities, agentic frameworks, industry trends, and enterprise AI patterns, and translate those insights into actionable recommendations.
  • Influence senior technology and business leaders by clearly communicating tradeoffs, risks, implementation options, and strategic recommendations for AI investments.

Desired Qualifications

  • Experience evaluating and implementing AI solutions from multiple vendors, including foundation model providers, cloud AI platforms, AI coding tools, agentic platforms, orchestration frameworks, and enterprise AI products.
  • Strong understanding of AI adoption strategies, including use case discovery, proof-of-concept development, vendor assessment, solution selection, technical enablement, and production-readiness planning.
  • Experience developing agentic AI frameworks, reusable design patterns, prompt strategies, orchestration flows, tool-calling patterns, retrieval-augmented generation patterns, workflow automation, and human-in-the-loop models.
  • Ability to create decision matrices, technical scorecards, benchmark approaches, and recommendation frameworks for selecting AI tools, models, platforms, and vendors.
  • Proven ability to rapidly prototype new ideas, test emerging technologies, validate feasibility, and convert successful experiments into scalable engineering patterns.
  • Experience mentoring engineering teams and creating enablement materials, reference implementations, reusable frameworks, and adoption playbooks for enterprise AI.
  • Demonstrated ability to influence executives, engineering leaders, architects, vendors, and cross-functional stakeholders through technical credibility, clear communication, and hands-on delivery.
  • Experience in hands-on technical leadership designing, evaluating, prototyping, or delivering enterprise-scale AI, cloud, platform, integration, or distributed systems solutions.

About the Company

Elevance Health

Sells health insurance and pharmacy benefits

Elevance Health is one of the largest U.S. health insurers, covering people through employers, individual plans, Medicare and Medicaid. It is the Blue Cross Blue Shield licensee in 14 states, where it sells plans under the Anthem name, and it runs government plans under the Wellpoint name in other markets. Its Carelon division runs the CarelonRx pharmacy benefit manager and sells behavioral health, care management and other services to its own plans and outside clients. Elevance earns most of its revenue from premiums paid by employers, members and government programs, plus fees for Carelon services. The company is headquartered in Indianapolis, Indiana.

Company size
10,001+
Company stage
IPO
Headquarters
Indianapolis, IN
Founded
1944

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