Distinguished Engineer

Anticipated End Date:

Distinguished Engineer

Distinguished Engineer

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.

Please note:

This position is not eligible for current or future visa sponsorship

• 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 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 Dev Ops practices.

• Experience designing and delivering enterprise AI solutions that drive measurable business outcomes across healthcare domains including medical cost management, payment integrity, utilization management, claims, care management, pharmacy, and clinical operations.
• Deep expertise in agentic AI, LLMs, retrieval-augmented generation (RAG), knowledge graphs, semantic layers, ontologies, conversational analytics, AI orchestration, and intelligent automation.
• Experience defining enterprise data strategies and modern data architectures, including open table formats (Apache Iceberg), data catalogs and catalog federation, metadata management, semantic models, data products, and interoperable multi-platform data ecosystems.
• Experience building enterprise AI platforms and reusable capabilities, including AI gateways, semantic models, vector databases, governance, security, and responsible AI.
• Healthcare payer experience, including healthcare data, FHIR/HL7 interoperability, and regulated environments.
• Demonstrated ability to partner with business, clinical, and technology leaders to translate business strategy into scalable AI-enabled products and enterprise capabilities.
• Recognized technical leader with experience defining enterprise architecture, influencing technology strategy, and driving adoption of modern AI engineering practices.
• Experience designing, building, and operating large-scale distributed systems and cloud-native applications.
• Experience developing software using Python, Java, or comparable object-oriented programming languages.
• Experience designing APIs, microservices, event-driven architectures, and implementing CI/CD and Dev Sec Ops  practices.
• Experience leading architecture and technical design for complex enterprise software platforms and mentoring engineering teams.
• Experience applying AI, machine learning, or generative AI technologies to develop production software solutions.

For candidates working in person or virtually in the below locations, the salary
* range for this specific position is $ - $ 381