Distinguished Engineer

• Lead the design, development, and deployment of large-scale, production-grade AI systems and platforms
• Architect and deliver scalable, resilient AI solutions using agentic systems, LLMs, distributed systems, and event-driven architectures
• Define enterprise-wide technical direction, 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 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
• Drive continuous improvement in system performance and productivity
• Provide technical leadership and mentorship
• Influence enterprise technology decisions through deep expertise and hands‑on engineering

• Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field
• Minimum of 15 years of experience in software engineering
• Experience leading, designing, implementing, and operating distributed systems and large-scale architectures
• Experience designing, developing, and maintaining software using Python, Java, or comparable object-oriented programming languages
• Experience designing and implementing APIs, microservices, and event-driven architectures
• Experience applying cloud, CI/CD, and Dev Ops practices
• Experience designing and delivering enterprise AI solutions across healthcare domains
• 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
• Experience building enterprise AI platforms and reusable capabilities
• Healthcare payer experience, including healthcare data, FHIR/HL7 interoperability, and regulated environments
• Ability to partner with business, clinical, and technology leaders to translate business strategy into scalable AI-enabled products and enterprise capabilities
• Recognized technical leadership 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 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
• Position is not eligible for current or future visa sponsorship
• Candidates must reside within a reasonable commuting distance of a posting location unless an accommodation is granted as required by law

Demonstrates expertise in designing and implementing large-scale AI systems, with a strong focus on distributed architectures, cloud practices, and AI-driven modernization. Proven ability to lead technical teams, influence enterprise technology decisions, and establish best practices for AI solutions in regulated environments.

• AI System Design
• Distributed Systems Architecture
• Python Programming
• Cloud and Dev Ops Practices
• Healthcare Data Interoperability

• AI Solutions Development
• Microservices Design
• API Development
• Event-Driven Architecture
• CI/CD Implementation
• Dev Sec Ops  Practices
• Agentic AI Expertise
• LLMs Knowledge
• Software Engineering
• Data Strategy Definition

• Technical Leadership
• Mentorship
• Collaboration
• Influencing Technology Strategy
• Continuous Improvement

• Healthcare Domains
• FHIR Interoperability
• HL7 Standards
• Regulated Environments
• Enterprise Architecture