Distinguished AI Engineer

Elevance Health•Tampa, FL

5d•$254,584 - $381,876•Hybrid

About The Position

The Distinguished AI Engineer leads the design, development, and modernization of enterprise workflow experiences. This hands-on technical leadership role uses expertise in ServiceNow, front-end and product engineering, and process optimization to create scalable, intuitive digital workflow solutions for business users, operations teams, and technology teams across the enterprise. The role partners with product, design, business units, platform teams, enterprise architecture, and other stakeholders to simplify processes and deliver modern workflow-enabled products. It sets enterprise technical direction and standards for AI systems, architecture, integrations, and reusable platform capabilities; leads AI-driven modernization of legacy systems and workflow tools; and advances AI-enabled software development practices. The role also provides technical mentorship and influences enterprise technology decisions through engineering leadership and strategic recommendations for AI investments. The position is hybrid and requires associates to work in-office three days per week. Candidates must live within a reasonable commuting distance of a posting location unless an accommodation is granted. Alternate locations may be considered for candidates within commuting distance of an office.

Requirements

Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field, and at least 15 years of software engineering experience; an equivalent combination of education and experience is acceptable.
Experience leading, designing, implementing, and operating distributed systems and large-scale architectures.
Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages.
Experience designing and implementing APIs, microservices, and event-driven architectures.
Experience applying cloud, CI/CD, and DevOps practices.

Nice To Haves

Experience designing and building user-centered enterprise products, such as 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 capabilities such as workflow automation, App Engine, Flow Designer, Integration Hub, Service Portal, or custom application development.
Experience integrating 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.
Hands-on technical leadership in designing, evaluating, prototyping, or delivering enterprise-scale AI, cloud, platform, integration, or distributed systems solutions.

Responsibilities

Partner with product, design, business units, platform teams, and enterprise architecture to simplify complex processes, improve user experience, and deliver workflow-enabled products.
Architect and deliver scalable, resilient AI solutions using technologies such as agentic systems, large language models, 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 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, maintainable product experiences.
Enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity in partnership with engineering teams and stakeholders.
Modernize legacy workflow tools, forms, portals, manual processes, and fragmented user experiences into streamlined digital products.
Provide technical leadership and mentorship, influence enterprise technology decisions, and make strategic recommendations for AI investments.