Distinguished Engineer - AI Adoption

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Job Description:

Distinguished Engineer - AI Adoption
Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. 

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

The Distinguished Engineer – AI Adoption will be responsible for accelerating enterprise adoption of artificial intelligence by evaluating emerging AI technologies, designing reusable frameworks, developing prototypes, and enabling business units to safely and effectively apply AI to high-value use cases. This role will serve as a hands-on technical leader across enterprise AI initiatives, working with internal teams and external AI vendors to assess capabilities, test solutions, define decision frameworks, and establish repeatable engineering patterns. The Distinguished AI Adoption Engineer will help business units identify, prototype, and scale AI solutions using the right combination of models, platforms, tools, and architectures.

How you will make an impact: 

•    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.

Minimum Requirements:

Requires a bachelor's degree in Information Technology, Computer Science, Engineering, or a related field and a minimum of 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large-scale architectures, or any combination of education and experience which would provide an equivalent background. Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages also required, as well as experience designing and implementing APIs, microservices, and event-driven architectures, and applying cloud, CI/CD, and DevOps practices. 

Preferred Skills, Capabilities and Experiences: 

•    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. 
 

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Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.

Who We Are

Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

How We Work

At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.

We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.

The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.

Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process should submit the following form: Accessibility Accommodation Request Form and a member of the team will be in contact. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.

NOTE: Workday keeps job postings active through 11:59:59 PM on the day before the listed end date. Example: If the end date is 3/13, the posting will automatically come down on 3/12 at 11:59:59 PM. In other words — the job is posted until 3/13, not through 3/13.