Top Tech Jobs & Startup Jobs

Provide prompt, accurate phone and written customer service to insureds and sales agents across multiple lines of business. Resolve issues on first contact, document interactions, follow HIPAA and department policies, recommend coverage options, and meet productivity and attendance standards. Use email, chat, and phone to handle difficult customers professionally.

Lead operational support for the Child Support application, ensuring system stability, compliance, and service quality while managing client relationships and incident resolution.

Support Trust Administration Operations through data analysis, reporting, quality assurance, reconciliations, and process improvement. Prepare client-ready reports and presentations, validate operational data, perform monthly audits, and collaborate with stakeholders to enhance reporting and automate processes.

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.