Applied AI Engineer
Sedgwick
full-time
Posted on:
Location Type: Remote
Location: Idaho • Louisiana • United States
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About the role
- Architect and deploy LLM-powered and agentic AI solutions that transform claims intake, policy interpretation, fraud detection, and resolution workflows.
- Design end-to-end retrieval-augmented generation (RAG) systems leveraging enterprise knowledge bases, policy documents, SOPs, and historical claims data.
- Build autonomous and semi-autonomous agents capable of reasoning, planning, and executing multi-step claims processes.
- Develop stateful workflow orchestration layers that manage context, memory, and task sequencing across interactions.
- Implement planning and reflection loops that decompose complex claims scenarios into structured subtasks.
- Enable dynamic tool use through function calling and secure API integrations with claims systems, CRM platforms, document repositories, and analytics tools.
- Develop document intelligence pipelines using LLMs for summarization, entity extraction, classification, validation, and timeline reconstruction.
- Design structured prompt 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 human-in-the-loop checkpoints for escalation, review, and override of AI-driven decisions.
- Develop 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 cloud infrastructure costs.
- Deploy scalable AI microservices using containerization and cloud-native architectures.
- Implement monitoring for model drift, retrieval quality degradation, reasoning failures, and workflow breakdowns.
- Maintain detailed audit logs of model decisions, agent reasoning steps, and tool executions.
- Develop 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 enterprise 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 gains.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related 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 generation 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 enterprise platforms and building secure connectors.
- Familiarity with Azure OpenAI or similar enterprise LLM environments.
- Experience deploying containerized services and managing CI/CD pipelines.
- Understanding of distributed systems, microservices, and event-driven architectures.
- Experience implementing guardrails, access controls, and auditability mechanisms.
- Strong knowledge of evaluation methodologies for LLM reliability and agent performance.
- Experience in insurance, claims, healthcare, or other regulated industries preferred.
- Ability to translate complex operational workflows into scalable, AI-driven autonomous systems.
Benefits
- Experience our caring culture
- Work-life balance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LLM-powered applicationsretrieval-augmented generationmulti-agent systemsworkflow orchestrationPythonAPI-driven system designcontainerizationCI/CD pipelinesdistributed systemsevent-driven architectures
Soft Skills
collaborationproblem-solvinganalytical thinkingcommunicationleadershipadaptabilityattention to detailstrategic thinkingcreativitytime management