Distinguished Engineer - AI Adoption

• 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, LLM 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 the right 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.
• Partner with business units to translate business problems into AI-enabled solution designs, including agentic workflows, LLM applications, retrieval-augmented generation, automation, decision support, and AI-assisted engineering capabilities.
• 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.

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

For candidates working in person or virtually in the below location, the salary* range for this specific position is $254,584 to $381,876

Location: Chicago IL

In addition to your salary, Elevance Health offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.

• The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education, and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Job Level:

Non-Management Exempt