Distinguished AI Engineer
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. 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
Lead the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization.
Responsibilities
- 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.
- Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI.
- Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity.
- Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering.
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.
Preferred Skills and Capabilities
- 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.
- Strong programming expertise in Python, Java, or similar technology.
- Deep experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices.
- Advanced experience designing and leading distributed systems and large-scale architectures.
- Experience establishing enterprise technology standards and influencing technical direction across multiple teams or business domains.
- Experience serving as a technical authority for software engineering practices, architecture, platform strategy, and modern application architectures, including APIs, microservices, cloud technologies, and DevOps practices.
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
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.