Top Tech Jobs & Startup Jobs

Owner of quality for an LLM-based multi-agent claims adjudication pipeline. Build evaluation frameworks, automated LLM-grading workflows, function-call and reasoning-trace auditing using Vertex AI. Integrate CI/CD regression, Auto-SxS comparisons, and large-scale mocking to ensure compliance and accurate adjudications for DOL/DOI audits.

Lead and modernize the healthcare analytics function, build automated client reporting infrastructure, drive claims and member data analysis, implement metric governance and data quality, leverage LLMs/RAG for AI-informed insights, partner with cross-functional teams and clients, and hire and develop a high-performing analytics team while ensuring HIPAA compliance.

Lead design and implementation of agentic AI systems for claims adjudication using Gemini and Vertex AI. Build production-grade Python agents, implement RAG, grounding, stateful orchestration with human review, input/output guardrails, and Google Cloud DLP integration. Drive backend patterns, optimize model behaviors, and supervise fine-tuning to ensure reliable, auditable outputs in healthcare claims workflows.

Own and develop Provider Servicing backend systems: design scalable, secure Java/Spring Cloud microservices and integrations (Mulesoft), build APIs and data services, adopt AI developer tools, mentor engineers, collaborate cross-functionally, and automate operations to improve SLAs.

Partner with senior leaders to design and implement people strategies for non-exempt and exempt teams, drive workforce planning, performance and compensation cycles, lead change management, diagnose culture using engagement data, coach leaders on complex employee relations and performance issues, and collaborate with ER, Legal, and People Operations to deliver fair, compliant solutions that support retention and business outcomes.

Lead and manage the core Claims processing system, owning development, testing, and maintenance. Partner with Product, Business, Operations, and Support to define and execute the technical roadmap, automate processes, and improve SLAs. Drive adoption of AI-powered developer tools and architect AI-native, agentic solutions. Provide technical and people leadership to build scalable, cloud-native backend services and integrations using Java/Spring Cloud, Kafka, AWS, Kubernetes, PostgreSQL, and BRMS.

Design, build, and maintain cloud-native data infrastructure and pipelines (AWS, Terraform, Spark/PySpark). Partner with analytics consumers to model data, ensure data quality across healthcare domains, manage BI lifecycle, enable self-service, and collaborate cross-functionally to deliver scalable ETL and warehousing solutions.