Distinguished Engineer

Elevance Health•Chicago, IL

2d•$254,584 - $381,876•Hybrid

About The Position

The Distinguished Engineer will be responsible for leading the design, development, and modernization of enterprise workflow experiences. With a deep expertise in ServiceNow, front-end engineering, product engineering, and process optimization, this role will serve as a hands-on technical leader responsible for creating scalable, intuitive, and high-impact digital workflow solutions that improve how business users, operations teams, and technology teams work across the enterprise.

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, 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.
Experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices required.

Nice To Haves

Experience designing and building user-centered enterprise products, including portals, dashboards, self-service experiences, case management tools, service catalogs, workflow interfaces, and operational applications is preferred.
Experience building workflow-enabled applications using enterprise workflow platforms, automation tools, low-code/no-code platforms, or business process management technologies is preferred.
Experience with ServiceNow platform capabilities such as workflow automation, App Engine, Flow Designer, Integration Hub, Service Portal or custom application development is preferred.
Experience implementing integrations with enterprise systems through REST APIs, web services, event-driven integrations, middleware, cloud platforms, and enterprise data services is preferred.
Hands-on experience building prototypes, proof of concepts, reusable UI components, workflow accelerators, reference implementations, and production-quality application components is preferred.
Strong understanding of product engineering practices, including user research, journey mapping, backlog management, experimentation, metrics, telemetry, feedback loops, and iterative delivery is preferred.
Familiarity with AI-enabled workflow automation, virtual agents, intelligent routing, process mining, knowledge management, and productivity-enhancing automation capabilities is preferred.
Experience including hands-on technical leadership in designing, evaluating, prototyping, or delivering enterprise-scale AI, cloud, platform, integration, or distributed systems solutions is strongly preferred.

Responsibilities

Will partner closely with product, design, business units, platform teams, and enterprise architecture to simplify complex processes, improve user experience, and deliver modern workflow-enabled products.
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.
Collaborate with UX, product management, engineering, operations, architecture, security, compliance, and business stakeholders to deliver reliable, secure, and maintainable product experiences.
Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity.
Lead modernization of legacy workflow tools, forms, portals, manual processes, and fragmented user experiences into streamlined digital products.
Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering options, and strategic recommendations for AI investments.