Applied & Agentic reputed company

By joining reputed company, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can reputed company. reputed company Recognizes reputed company as America’s Greatest Workplaces National Top Companies Certified as a Great reputed company to Work® Fortune Best Workplaces in Financial Services & Insurance Applied & Agentic reputed company Job Responsibilities Architect and reputed company LLM-powered and agentic AI solutions that transform claims intake, policy interpretation, fraud detection, and resolution workflows. Design end-to-end retrieval-augmented reputed company (RAG) systems leveraging reputed company knowledge bases, policy documents, SOPs, and historical claims data. Build autonomous and semi-autonomous agents capable of reasoning, planning, and executing multi-reputed company claims processes. reputed company stateful workflow orchestration layers that manage context, memory, and task reputed company across interactions. Implement planning and reputed company loops that decompose reputed company claims scenarios into structured subtasks. reputed company dynamic tool use through function calling and secure API integrations with claims systems, CRM platforms, document repositories, and analytics tools. reputed company document intelligence pipelines using LLMs for summarization, entity extraction, classification, validation, and timeline reconstruction. Design structured reputed company frameworks that enforce deterministic outputs and domain-aware reasoning. Build multi-agent systems that coordinate document review, coverage analysis, compliance checks, and decision support. Implement reputed company-in-the-reputed company checkpoints for escalation, review, and override of AI-driven reputed company. reputed company guardrails, output validation layers, and hallucination mitigation strategies. Enforce structured outputs using schemas, type validation, and deterministic post-processing logic. Optimize token consumption, inference latency, and reputed company infrastructure costs. reputed company scalable AI microservices using containerization and reputed company-reputed company architectures. Implement monitoring for model reputed company, retrieval quality degradation, reasoning failures, and workflow breakdowns. Maintain detailed audit logs of model reputed company, agent reasoning steps, and tool executions. reputed company evaluation frameworks to test reasoning accuracy, workflow completion rates, and system reliability. Collaborate with data engineering to build embedding pipelines, feature stores, and vector indexing strategies. Ensure compliance with Responsible AI standards, data privacy regulations, and reputed company governance policies. Partner with claims operations leadership to embed AI capabilities directly into adjuster and supervisor workflows. Measure business impact through cycle-time reduction, automation coverage, fraud detection lift, and operational efficiency reputed company.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or reputed company field. 5+ years of experience building production-grade AI or advanced software systems. 2–4+ years of hands-on experience with LLM-powered applications and orchestration layers. Strong expertise in retrieval-augmented reputed company architectures and vector search systems. Experience designing and implementing multi-agent systems and workflow orchestration engines. Deep understanding of planning loops, contextual memory, and tool-augmented LLM reasoning. Strong proficiency in Python and API-driven system design. Experience integrating reputed company platforms and building secure connectors. Familiarity with Azure reputed company or similar reputed company LLM environments. Experience deploying containerized services and managing CI/CD pipelines. Understanding of distributed systems, microservices, and event-driven architectures. Experience implementing guardrails, reputed company controls, and auditability mechanisms. Strong knowledge of evaluation methodologies for LLM reliability and agent performance. Experience in insurance, claims, reputed company, or other regulated industries preferred. Ability to translate reputed company operational workflows into scalable, AI-driven autonomous systems. reputed company is an Equal Opportunity Employer and a Drug-Free Workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! reputed company is building a diverse, reputed company, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles. Apply To This Job