AI Solutions Engineer Lead Senior

Elevance Health • Atlanta, GA

2d • Hybrid

About The Position

The AI Solutions Engineer Lead Senior leads end-to-end application system development and maintenance across large, complex enterprise technology platforms. This hands-on engineering role builds AI-enabled systems and uses AI agents and coding assistants throughout the software development lifecycle, from planning and design through implementation, testing, deployment, and production support. The role drives adoption of AI capabilities across the portfolio, establishes engineering practices, and mentors teams in scaling AI-enabled development.

The position leads the development and architecture of agentic AI solutions, establishes model evaluation and continuous-improvement approaches, and applies responsible AI, privacy, and security practices. It also works with customers and stakeholders to establish business requirements, shape technical direction and architecture, and ensure systems meet reliability, scalability, testing, and delivery objectives. The role coordinates change requests, reviews designs and code, oversees system monitoring and on-call support, and contributes to enterprise solution decisions and technology strategy.

This is a hybrid role requiring associates to work in-office three days per week. Candidates must live within a reasonable commuting distance of the posting location unless a legally required accommodation is granted. Elevance Health describes its workforce strategy as hybrid and states that onsite expectations may be discussed during hiring.

Requirements

• BA/BS degree in Information Technology, Computer Science, or a related field, and at least 9 years of experience; equivalent combinations of education and experience are also accepted.
• Experience with multidimensional platforms and business and technical applications.
• Strong hands-on engineering experience building AI-enabled systems and using AI agents and coding assistants across the software development lifecycle.
• Knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information.

Nice To Haves

• Experience mentoring others, driving teams to achieve results, leading multiple and/or large projects, and providing troubleshooting support.
• Experience with multiple databases and/or programming languages.
• Experience in US healthcare, payer, claims, clinical, HIPAA, PHI, regulated industries, or enterprise security.
• Project leadership experience, including Agile project management and Scaled Agile Frameworks (SAFe).
• Knowledge of Agile/SAFe delivery and portfolio management tools.
• Strong communication skills and ability to explain AI concepts to nontechnical 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.

Responsibilities

• Lead the development and architecture of agentic AI solutions, including orchestration, tool integration, and reusable enterprise patterns.
• Use AI coding tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, Codex-style agents, or similar tools on a daily or weekly basis.
• Define and implement model evaluation frameworks for quality, accuracy, safety, and performance, and guide continuous improvement.
• Apply 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 customer relationships to determine business requirements; lead requirements-gathering meetings and review designs with the business.
• Anticipate broad technical change and ensure company technology remains current.
• Understand and articulate the architecture, scaling limits, and reliability limits for a major part of the business.
• Own the change-request process and coordinate with other teams as needed.
• Develop and own the list of final enhancements.
• Define application scope and objectives and supervise preparation of technical or functional specifications for programs.
• Perform technical design reviews and code reviews.
• Ensure unit testing meets test-plan requirements, system testing is completed, and system implementation follows the plan.
• Lead delivery of application technology solutions and data-information planning efforts.
• May participate in developing multi-year technology strategy for critical business areas spanning multiple systems.
• Partner with technical and nontechnical stakeholders to identify the long-term technical trajectory of technology infrastructure.
• Create architecture and anticipate future technology needs.
• Lead internal discussions on the direction of major technology areas, build broad team consensus, and use the agreed direction when engaging engineers.
• Coordinate and manage on-call support and own system monitoring processes.
• Review and monitor initiatives for end-to-end impact and coordination.
• Participate in enterprise solution reviews and decision-making.

Benefits

• Merit increases
• Paid holidays
• Paid Time Off
• Incentive bonus programs (unless covered by a collective bargaining agreement)
• Medical insurance
• Dental insurance
• Vision insurance
• Short- and long-term disability benefits
• 401(k) with match
• Stock purchase plan
• Life insurance
• Wellness programs
• Financial education resources

What This Job Offers

• Job Type: Full-time
• Career Level: Senior