Anticipated End Date:
2026-07-03

Position Title:
Distinguished AI Engineer

Job Description:

Distinguished AI Engineer

Location: This role requires associates to be in-office 1 - 2 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 AI Engineer is a highly experienced, hands-on AI individual contributor to design, build, and scale enterprise AI solutions across machine learning, generative AI, and AI agents. This role is for a senior technical expert who can directly develop production-grade AI capabilities while also influencing architecture, delivery models, and engineering practices across the organization. The ideal candidate combines deep technical expertise with strong business acumen and has a proven track record of building reusable AI services at scale. This is not a pure research or management role; we are looking for a hands-on builder who thrives in complex enterprise environments and can help modernize how AI solutions are developed and deployed. The ideal candidate can also make sound buy, build, and integrate decisions across commercial and open-source AI solutions, selecting the right approach based on business need, regulatory requirements, speed to value, and long-term maintainability.

How You Will Make An Impact:

• Design, develop, and deploy enterprise AI solutions spanning traditional machine learning, generative AI, and agentic AI systems
• Serve as a senior hands-on contributor, technical leader, and subject matter expert across the AI development lifecycle
• Build reusable AI services, frameworks, accelerators, and reference architectures leveraged across multiple teams and use cases
• Partner with business domain SMEs, product, engineering, architecture, security, data, and business teams to translate business opportunities into scalable AI solutions
• Lead buy, build, and integrate decisions across commercial and open-source AI solutions, balancing speed, cost, risk, security, scalability, and strategic differentiation
• Use modern AI-assisted development tooling to improve speed, quality, and efficiency of solution delivery
• Guide implementation teams through architecture, design, model selection, evaluation, deployment, and operationalization of AI solutions
• Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities
• Influence technical direction across teams through expertise, credibility, and collaboration rather than formal authority
• Ensure solutions are designed for enterprise requirements including scalability, security, observability, governance, and maintainability
• Help define and promote AI blueprints, engineering standards, and best practices to accelerate enterprise adoption.
• Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures. Define enterprise-wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities.
• Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization.
• Design and implement AI-enabled software development lifecycle (SDLC) practices to improve engineering velocity and quality.

Minimum Requirements:

• Requires a Bachelor's degree in Computer Science, Information Technology, or related field and a minimum of 15 years of experience in software engineering, deep expertise in distributed systems and large-scale architecture, or any combination of education and experience, which would provide an equivalent background.
• Experience delivering production-grade AI/ML systems at scale, building agentic systems or complex LLM-based applications, modernizing large, complex legacy systems, and delivering high-quality systems also required. Strong programming expertise in Python, Java, or similar required.
• Deep experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices required.

Preferred Skills, Capabilities & Experiences:

• Subject matter expert in machine learning, GenAI, and AI agents.
• Experience working in a Fortune 100 regulated company, startup, and or top-tier technology firm, ideally in combination.
• Proven success at building and deploying reusable AI services at scale
• Experience operationalizing AI in production with MLOps, LLMOps, observability, and governance practices.

For candidates working in person or virtually in the below locations, the salary* range for this specific position is $231,440 - $416,592.

Location(s): Illinois, California, Washington, Virginia, Massachusetts.

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

Workshift:
1st Shift (United States of America)

Job Family:
IFT > IT Architecture

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.