Top Tech Jobs & Startup Jobs

Design, build, and maintain mainframe-based healthcare and reporting systems. Troubleshoot production issues, analyze requirements, support availability and performance, manage code migrations and deployments, and participate in agile development and off-hours production support.

Research and develop LLM and NLP solutions (including agentic AI) for healthcare, collaborate with RUAI and engineering teams, build MLOps pipelines, document code and models, publish/patent novel methods, and ensure solutions comply with company AI policies.

Lead strategy and execution of enterprise-scale AI/ML and generative AI solutions for claims, eligibility, and benefits. Define AI engineering roadmap, build LLM and agentic systems, scale cloud-native AI workloads, enforce responsible AI governance, partner with product and business stakeholders, manage budgets, and hire and mentor a global engineering organization to deliver measurable business outcomes.

Lead production operations and incident management for customer-facing applications. Coordinate releases, drive P1/P2 incident response and RCAs, execute DR exercises, manage capacity and CMDB, support cloud platform operations (Kubernetes, Kafka, GCP/HCP), and lead automation and reliability improvements with engineering and vendor partners.

Lead large engineering teams to design, build, and deploy enterprise-scale software and AI-powered solutions; drive architecture, DevSecOps/CI-CD, cloud-native patterns, responsible AI, and stakeholder collaboration to improve healthcare delivery.

Design, build, and deploy production-grade AI/ML and LLM solutions for claims processing, eligibility, prior authorization, and payment integrity. Build scalable data pipelines, integrate models with core payer systems, ensure HIPAA/PHI-safe pipelines and Responsible AI governance, monitor and retrain models, and partner with cross-functional teams to deliver reliable, CI/CD-driven solutions.

Design, build, and productionize AI systems (genAI, agents, RAG) with observability, model quality, governance, and responsible-AI controls. Implement serving/inference, cloud deployments, model registry/experiment tracking and cross-functional leadership to scale claim-edit automation and agentic workflows.

Individual contributor lead role to architect, build, and deploy agentic LLM systems, RAG/hybrid search, and scalable microservices on cloud/Big Data platforms. Owns MLOps/LLMOps, evaluation frameworks, HIPAA-compliant security controls, and integrations with data and internal AI platforms. Partners with data engineering, mentors engineers, prototypes POCs, and drives production reliability and cost KPIs.

Lead development and execution of a Voice of the Customer and business relationship management capability for Corporate Real Estate. Design survey frameworks, partner with analytics, convert feedback to improvement plans, and present executive-level insights to drive service quality and accountability.

Design and build production-grade GenAI solutions: RAG pipelines, agentic multi-agent workflows, knowledge-base chatbots, vector DBs, LLM integrations, observability, PII redaction, and deploy AI backends with monitoring and documentation.