Distinguished Engineer

Overview Distinguished Engineer. The role involves leading the design, development, and modernization of enterprise workflow experiences with deep expertise in ServiceNow, front-end engineering, product engineering, and process optimization. The position serves 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.

How you will make an impact 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. Minimum Requirements Requires a bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field and a minimum of 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large-scale architectures, or any combination of education and experience providing an equivalent background. Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages is required, as well as experience designing and implementing APIs, microservices, and event-driven architectures, and applying cloud, CI/CD, and DevOps practices.

Preferred Skills, Capabilities and Experiences Experience designing and building user-centered enterprise products, including portals, dashboards, self-service experiences, case management tools, service catalogs, workflow interfaces, and operational applications. Experience building workflow-enabled applications using enterprise workflow platforms, automation tools, low-code/no-code platforms, or business process management technologies. Experience with ServiceNow platform capabilities such as workflow automation, App Engine, Flow Designer, Integration Hub, Service Portal or custom application development.

Experience implementing integrations with enterprise systems through REST APIs, web services, event-driven integrations, middleware, cloud platforms, and enterprise data services. Hands-on experience building prototypes, proof of concepts, reusable UI components, workflow accelerators, reference implementations, and production-quality application components. Strong understanding of product engineering practices, including user research, journey mapping, backlog management, experimentation, metrics, telemetry, feedback loops, and iterative delivery.

Familiarity with AI-enabled workflow automation, virtual agents, intelligent routing, process mining, knowledge management, and productivity-enhancing automation capabilities. Hands-on technical leadership in designing, evaluating, prototyping, or delivering enterprise-scale AI, cloud, platform, integration, or distributed systems solutions. Location and Compensation Location: Chicago IL Salary range for this position: $254,584 to $381,876.

Details subject to eligibility and company policy. Equal Employment Opportunity Elevance Health is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status, or any other status protected by applicable federal, state, or local laws.

Applicants who require accommodation to participate in the job application process may contact [email protected] for assistance. #J-18808-Ljbffr