Distinguished Engineer

Locations: This role requires associates to be in-office 1-2 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.

PLEASE NOTE:

This position is not eligible for current or future VISA sponsorship.

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. They are key influencers who work with senior leadership to solve complex, company-wide technical challenges while fostering a culture of innovation and mentorship.

• 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.

• Requires a Bachelor’s degree in Computer Science, Information Technology, or related field and a minimum of 15 years of experience in software engineering, deep 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.
• Deep experience with APIs, microservices, and event‑driven architectures, cloud platforms, and CI/CD and Dev Ops practices required.

• Strong expertise in healthcare technology ecosystems, cloud platforms (AWS, Azure, GCP), AI at Scale, full‑stack software engineering, and the design of secure, scalable, cloud‑native architectures.
• Hands‑on experience developing and deploying AI/ML solutions, including Generative AI (GenAI), Large Language Models (LLMs), and modern AI development frameworks and tooling.
• Deep knowledge of cloud infrastructure, identity and access management (IAM), encryption, network security, and cloud security best practices.
• Proven success driving Dev Sec Ops  adoption through automation, CI/CD optimization, infrastructure as code (IaC), and secure software delivery practices.
• Exceptional communication and stakeholder management skills,…