Distinguished Engineer - Responsible AI

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Anticipated End Date: 2026-07-13 Position Title: Distinguished Engineer - Responsible AI Job Description: 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. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. 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. How you will make an impact: - 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. Minimum 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, 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. Experience with APIs, microservices, and event-driven architectures, cloud platforms, and CI/CD and DevOps practices required. 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. For candidates working in person or virtually in the below location, the salary* range for this specific position is $254,584 to $381,876. Location: Chicago IL In addition to your salary, Elevance Health offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k con

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