AI Solutions Engineer Lead

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. Alternate locations may be considered if candidates reside within a commuting distance from an office. Candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is required by law.

About the role

This role is responsible for leading the end-to-end application system development and maintenance on large, complex enterprise-wide technology platforms. The AI Solutions Engineer Lead requires a strong hands-on engineer with deep experience building AI-enabled systems and using AI agents and coding assistants across the SDLC (planning, design, implementation, testing, deployment, and production support). The ideal candidate will drive adoption of AI capabilities across the portfolio, establish best practices, and mentor teams to scale AI-enabled engineering.

Responsibilities

• Lead development and architecture of agentic AI solutions, including orchestration, tool integration, and reusable enterprise patterns.
• Daily or weekly use of AI coding tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, Codex-style agents, or similar.
• Define and implement model evaluation frameworks (quality, accuracy, safety, and performance metrics) and guide teams on continuous improvement.
• Demonstrate knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information.
• Improve AI output quality through prompt optimization and model tuning.
• Maintain active relationships with customers to determine business requirements, lead requirements gathering meetings, and review designs with the business.
• Anticipate broad technical change and ensure that company technology stays ahead of the curve.
• Understand the entire architecture for a major part of the business and articulate the scaling and reliability limits.
• Own the change request process and coordinate with other teams as necessary.
• Develop and own a list of final enhancements.
• Develop and define application scope and objectives and supervise the preparation of technical and/or functional specifications from which programs will be written.
• Perform technical design reviews and code reviews.
• Ensure unit test is completed and meets the test plan requirements, system testing is completed, and the system is implemented according to plan.
• Responsible for the delivery of application technology solutions and data information planning effort.
• May participate in developing the multi-year technology strategy for critical areas of the business that may encompass multiple systems.
• Partner with technical and non-technical stakeholders to identify the long-term technical trajectory of the technology infrastructure.
• Create architecture and anticipate future technology needs.
• Lead internal conversations about the direction of major areas of the technology, drive wide-team consensus to the adoption of this direction, and use this direction when engaging engineers.
• Coordinate and manage on-call support and own the system monitoring process.
• Review and monitor initiatives for end-to-end impact and coordination.
• Participate in review and decision-making for enterprise solutions.

Requirements

• BA/BS degree in Information Technology, Computer Science, or related field of study, and a minimum of 9 years of experience; experience with multi-dimensional platforms, and business and technical applications required; or any combination of education and experience, which would provide an equivalent background.

Skills

• Experience mentoring others, driving teams to achieve results, leading multiple and/or large projects, and providing troubleshooting support.
• Multi-database and/or multi-language experience.
• Experience with US healthcare, payer, claims, clinical, HIPAA, PHI, regulated industry, or enterprise security.
• Project leadership experience including Agile project management, Scaled Agile Frameworks (SAFe).
• Knowledge of Agile/SAFe delivery and portfolio management tools.
• Strong communication skills and ability to explain AI concepts to non-technical audiences.
• Experience integrating AI into tools such as JIRA or similar delivery platforms.
• Strong software engineering fundamentals including cloud-native development, APIs and microservices, CI/CD, automated testing, and secure SDLC.
• Experience building or integrating AI agents, tool/function calling, RAG, memory, model routing, evaluations, guardrails, observability, and secure API/tool access.
• Experience building LLM or SLM applications.
• Ability to review, test, and harden AI-generated code.

Benefits

• Market-competitive total rewards including 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) with company match and stock purchase plan.
• Life insurance, wellness programs, and financial education resources.

Schedule

Elevance Health operates in a Hybrid Workforce Strategy. 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.