Sedgwick

Applied & Agentic AI Engineer

Sedgwick • $120K — $145K *
US-Anywhere
+ 30 other locationsRemote
Finance & Insurance
5 - 7 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, 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.
  • Expertise in retrieval-augmented generation architectures and vector search systems.
  • Experience designing and implementing multi-agent systems and workflow orchestration engines.
  • Strong proficiency in Python and API-driven system design.
  • Familiarity with Azure OpenAI or similar enterprise LLM environments.

Responsibilities

  • Architect and deploy LLM-powered and agentic AI solutions for claims processes.
  • Design end-to-end retrieval-augmented generation systems leveraging enterprise data.
  • Build autonomous agents for multi-step claims processes.
  • Develop workflow orchestration layers for managing context and task sequencing.
  • Implement planning loops for decomposing complex claims scenarios.
  • Enable dynamic tool use through secure API integrations with various systems.
  • Establish human-in-the-loop checkpoints for AI decision oversight.

Benefits

  • Flexible working arrangements with a strong focus on work-life balance.
  • Access to state-of-the-art tools and technologies in AI and machine learning.
  • Opportunities for continuous learning and professional development.
  • Collaborative and inclusive work environment with diverse teams.
  • Engagement in impactful projects that drive operational efficiency.
Full Job Description


Applied & Agentic AI Engineer

Job Responsibilities
  • 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.


Qualifications
  • 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.

About Sedgwick

Sedgwick is a global provider of insurance, risk management, and related services. The company was founded in 1969 and is headquartered in Boston, Massachusetts. Sedgwick offers a range of services to clients in various industries, including property and casualty insurance, workers' compensation, and disability management. The company has a team of experienced professionals who work closely with clients to develop customized solutions that meet their specific needs. Sedgwick has a reputation for delivering high-quality service and has been recognized for its excellence in the insurance industry.
Learn more about Sedgwick
Size
10,000 employees
Industry
Finance & Insurance
Founded
1969
* Ladders Estimates

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