Distinguished Engineer - Responsible AI

Location

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. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.

About the Role

The Distinguished Engineer - Responsible AI leads the design, development, governance, and deployment of enterprise-scale AI systems with Responsible AI at the core. This role sets the technical strategy, architecture patterns, and engineering practices needed to build AI solutions that are scalable, secure, reliable, explainable, compliant, and aligned with enterprise Responsible AI principles. As a senior technical leader, the Distinguished Engineer - RAI partners with engineering, data science, security, legal, compliance, product, and business teams to ensure AI systems include appropriate controls for fairness, transparency, privacy, safety, robustness, accountability, and human oversight.

Responsibilities

• Define enterprise-wide technical direction for Responsible AI engineering, including architecture patterns, integration standards, model risk controls, evaluation frameworks, guardrails, observability, and reusable platform capabilities.
• Partner with engineering, data science, legal, compliance, security, privacy, and risk teams to translate Responsible AI principles, regulatory expectations, and enterprise policies into practical technical controls.
• Develop reusable Responsible AI platform services, reference architectures, tooling, and implementation patterns to accelerate safe and consistent adoption of AI across the enterprise.
• Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures.
• Define and operationalize metrics for AI system quality, trustworthiness, safety, fairness, reliability, performance, and business impact.
• Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization.
• Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI.
• Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering.

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 which would provide an equivalent background. Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages also 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

• Ability to translate policy, risk, compliance, legal, privacy, and security requirements into practical engineering patterns and platform capabilities.
• Experience implementing AI governance and control frameworks, including model evaluation, validation, documentation, monitoring, auditability, model risk management, and regulatory compliance.
• Demonstrated ability to influence senior technical and business stakeholders, establish enterprise standards, mentor engineering leaders, and drive adoption of modern Responsible AI practices.
• Hands-on experience with LLM evaluation, prompt safety, hallucination mitigation, content safety, toxicity detection, jailbreak resistance, red-teaming, guardrails, and AI observability.
• Strong programming expertise in Python, Java, or similar.
• Deep experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices.

Benefits

In addition to your salary, Elevance Health offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).

Pay

The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education, and/or skill level.

Schedule

No amount is wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Equal Employment Opportunity

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