AI Solutions Engineer Lead

Elevance Health (Anthem); Atlanta (GA); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Elevance Health is seeking an AI Solutions Engineer Lead to drive end-to-end development and maintenance of AI-enabled systems across enterprise platforms. This hands-on role requires strong architectural vision and mentoring to scale AI across teams.

You will lead the adoption of AI tooling, define evaluation frameworks, ensure data privacy and secure SDLC practices, and collaborate with stakeholders to translate requirements into scalable solutions. Hybrid work with in-office days.

Qualifications

• BA/BS in IT or CS with 9+ years of experience.
• Experience with multi-dimensional platforms and enterprise applications.
• Experience mentoring teams and leading large projects.
• Knowledge of Agile/SAFe delivery and portfolio management tools.
• Strong communication, ability to explain AI concepts to non-technical audiences.

Responsibilities

• Lead end-to-end development and maintenance of enterprise AI-enabled systems.
• Define and implement model evaluation frameworks and guide continuous improvement.
• Collaborate with stakeholders to determine business requirements.
• Coordinate on-call support and monitor system health.
• Drive adoption of AI capabilities and mentor teams.

Skills

Mentoring

Project leadership

Agile/SAFe

Communication

AI concepts explainability

Education

BA/BS in Information Technology or Computer Science

Tools

JIRA

Job description

Anticipated End Date:2026-10-05Position Title:AI Solutions Engineer LeadJob Description:AI Solutions Engineer LeadLocation: 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 AI Solutions Engineer Lead(Engineer Lead Senior) is responsible for leading the end to end application system development and maintenance on large complex enterprise wide technology platforms. This role 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.How You Will Make an ImpactPrimary duties may include, but are not limited to: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.Demonstrates knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information.Improve AI output quality through prompt optimization and model tuning.Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and reviews designs with the business.Anticipates broad technical change and ensures that company technology stays ahead of the curve.Understands the entire architecture for a major part of our business and is able to articulate the scaling and reliability limits.Owns the change request process and coordinates with other teams as necessary.Develops and owns list of final enhancements.Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from with programs will be written.Performs technical design reviews and code reviews.Ensures unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan.Responsible for delivery of application technology solutions and data information planning effort.May participates in developing the multi-year technology strategy for critical areas of the business that may encompass multiple systems.Partners with technical and non technical stakeholder to identify the long term technical trajectory of the technology infrastructure.Creates architecture and anticipates future technology needs.Leads the conversations internally about the direction of major areas of the technology, drives wide-team consensus to the adoption of this direction, and uses this direction when engaging engineers.Coordinates and manages on-call support and owns the system monitoring process.Reviews and monitors initiatives for end to end impact and coordination.Participates in review and decision making for enterprise solutions.Minimum Requirements:Requires a BA/BS degree in Information Technology, Computer Science or related field of study, and a minimum of 9 years 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.Preferred Skills, Capabilities, and Experiences:Experience mentoring others, driving teams to achieve results, leading multiple and/or large projects, and provide troubleshooting support strongly preferred.Multi database and/or multi language strongly preferred.Experience with US healthcare, payer, claims, clinical, HIPAA, PHI, regulated industry, or enterprise security experience.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 strongl