Distinguished Engineer

Elevance Health•Indianapolis, IN

3d•$243,012 - $364,518•Hybrid

About The Position

The Distinguished Engineer is responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization. They are key influencers who work with senior leadership to solve complex, company-wide technical challenges while fostering a culture of innovation and mentorship.

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.

Nice To Haves

Strong expertise in healthcare technology ecosystems, cloud platforms (AWS, Azure, GCP), AI at Scale, full-stack software engineering, and the design of secure, scalable, cloud-native architectures.
Hands-on experience developing and deploying AI/ML solutions, including Generative AI (GenAI), Large Language Models (LLMs), and modern AI development frameworks and tooling.
Deep knowledge of cloud infrastructure, identity and access management (IAM), encryption, network security, and cloud security best practices.
Proven success driving DevSecOps adoption through automation, CI/CD optimization, infrastructure as code (IaC), and secure software delivery practices.
Exceptional communication and stakeholder management skills, with the ability to influence cross-functional teams and effectively partner with executive and senior leadership across a matrixed organization.

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.