Distinguished Engineer

Distinguished Engineer

Please note: This position is not eligible for current or future visa sponsorship

Hybrid: 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 is responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization.

How you will make an impact:

• 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.
• Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity.
• 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 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:

We're seeking a distinguished technical leader who combines enterprise-level strategic thinking, deep business understanding, exceptional hands-on software engineering capabilities, and behavioral science and public health expertise. The ideal candidate must demonstrate a proven track record of designing, building, and delivering production-grade solutions while influencing enterprise technology strategy, developing technical talent, and driving measurable business and health outcomes.

• Hands-On Engineering Excellence and Technical Leadership: Exceptional software engineering expertise with demonstrated ability to architect, build, optimize, and deliver production solutions while setting high engineering standards and developing technical talent.
• AI Expertise and Strategic Thinking: Deep understanding of AI, generative AI, agentic systems, LLMs, intelligent automation, and modern data architectures. Experience applying these technologies to improve decision-making, member engagement, and health outcomes, including trusted and safe AI-enabled experiences.
• End-to-End Systems and Business Thinking: Ability to connect business processes, products, data, systems, and technology across organizational boundaries and translate complex challenges into scalable solutions informed by behavioral, social, and population-health insights.
• Product and Platform Thinking: Experience establishing technology vision, roadmaps, reusable platforms, architectural standards, and investment priorities with a focus on scalability, simplicity, experimentation, and measurable value.
• Behavioral Science, Public Health, and Healthcare Expertise: Experience in behavioral science, public health, population health, health psychology, epidemiology, or related disciplines. Knowledge of behavior change, social determinants of health, population segmentation, health equity, and evidence-based interventions. Experience translating behavioral insights into scalable digital, AI, and human interventions is highly valued. Advanced training in a relevant discipline or equivalent experience is preferred.
• End-to-End Execution and Accountability: Proven ability to drive complex initiatives from problem definition and architecture through implementation and production, including translating behavioral and population-health evidence into scalable interventions and measurable outcomes.
• Executive Influence and Communication: Exceptional ability to translate technical, behavioral, and public health concepts into clear technology strategy, influence enterprise decisions, communicate tradeoffs, and build executive alignment.
• Cross-Functional Leadership and Collaboration: Proven ability to build trusted partnerships across product, engineering, data, operations, clinical, behavioral health, population health, care management, and analytics, bringing multidisciplinary teams together around shared outcomes.