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Added 47 mins ago
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Added 23 hours ago
Senior AI Engineer – Claims Summarization & Agentic AI
Cognizant
Toronto, ON
Full-time
Build PySpark-based data processing frameworks for claims data.
Added 23 hours ago
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Développeur Responsable technique Skywise / Skywise tech lead developer
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Vous avez une maîtrise démontrée des langages Python, JavaScript et SQL (une expérience avec PySpark est un plus);
Added 1 day ago
Senior Manager, Engineering & Build
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Toronto, ON
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Added 1 day ago
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Senior Data Scientist - Fraud Detection
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Cognizant

Senior AI Engineer – Claims Summarization & Agentic AI

Toronto, ON, Canada

Pay: The annual salary for this position is between $110,000 - $130,000 depending on experience and other qualifications of the successful candidate.
Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

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Original job description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

AI Engineer

Senior AI Engineer – Claims Summarization & Agentic AI

Role Overview

We are seeking a highly skilled and hands-on Senior AI Engineer to design, develop, and deploy Agentic AI solutions for insurance claims processing. The ideal candidate will build intelligent Claims Summarization Agents leveraging Large Language Models (LLMs) from Microsoft (Azure OpenAI), Anthropic (Claude), Google (Gemini), and other leading AI providers.

This role requires deep expertise in Azure, Databricks, Generative AI, Agent Frameworks, RAG (Retrieval Augmented Generation), and enterprise-scale data engineering. The candidate will work closely with Claims SMEs, Product Owners, Data Architects, and Engineering teams to transform claims operations through AI-driven automation and insights

Key Responsibilities

Agentic AI Solution Development

Design and build Claims Summarization Agents capable of analyzing structured and unstructured claims data.
Develop multi-agent workflows for claim intake, claim history review, adjuster notes analysis, fraud indicators, and settlement recommendations.
Build intelligent orchestration using frameworks such as LangGraph, AutoGen, LangChain, CrewAI, or Databricks Mosaic AI Agent Framework.
Implement Human-in-the-Loop (HITL) workflows for critical claims decision support.

LLM Engineering

Integrate and optimize enterprise LLMs including:

Azure OpenAI (GPT-4o, GPT-5*)
Anthropic Claude
Google Gemini
Open-source models where appropriate

Perform prompt engineering, evaluation, guardrail implementation, and model tuning.
Design confidence scoring and hallucination mitigation mechanisms.

RAG & Knowledge Engineering

Build Retrieval Augmented Generation (RAG) solutions using:

Databricks Vector Search
Azure AI Search
Embedding models
Knowledge Graphs

Implement document chunking, indexing, metadata enrichment, and retrieval optimization.
Develop solutions for claims documents including:

FNOL reports
Adjuster notes
Medical reports
Legal correspondence
Claim history documents.

Databricks & Azure Development

Develop scalable AI pipelines using:

Azure Databricks
Databricks Mosaic AI
MLflow
Unity Catalog
Delta Lake
LakeFlow Pipelines

Build PySpark-based data processing frameworks for claims data.
Create end-to-end AI lifecycle management including deployment, monitoring, and governance.

AI Governance & Observability

Implement Responsible AI principles, security guardrails, and compliance controls.
Establish observability using MLflow, tracing, prompt monitoring, evaluation frameworks, and model performance tracking.
Ensure privacy, explainability, auditability, and regulatory compliance for insurance use cases.

Experience

Required Qualifications

8+ years of software engineering, data engineering, or AI engineering experience.
3+ years of hands-on experience with Generative AI and LLM solutions.
Proven experience implementing enterprise-scale AI agents and RAG-based applications.
Insurance domain experience, particularly Claims, Policy Administration, or Underwriting, is highly preferred.

Technical Skills

AI & Agent Frameworks

LangGraph
LangChain
AutoGen
CrewAI
LlamaIndex
Databricks Mosaic AI Agent Framework

LLM Platforms

Azure OpenAI
Anthropic Claude
Google Gemini
Open Source LLMs (Llama, Mistral, etc.)

Data & Cloud

Azure Databricks
Azure OpenAI
Azure AI Search
Azure Storage / ADLS
Azure Functions
Azure DevOps
Delta Lake
Unity Catalog
MLflow

Programming

Python
PySpark
SQL
REST APIs

AI Techniques

Prompt Engineering
RAG
Vector Databases
Embeddings
Agent Orchestration
Model Evaluation
Fine Tuning
Responsible AI

Preferred Certifications

Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure AI Apps & Agents Developer Associate
Databricks Certified Machine Learning Professional
Databricks Certified Data Engineer Professional
Azure Data Engineer Associate

Desired Soft Skills

Strong stakeholder communication and presentation skills.
Ability to translate claims business requirements into scalable AI solutions.
Strong problem-solving and architecture mindset.
Experience leading technical teams and mentoring junior engineers.
Passion for innovation in Agentic AI and Generative AI.

Location: Toronto (Hybrid)

Application Accepted: 9/31/2026

The annual salary for this position is between $110,000 - $130,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Extended Group Health Plan through Manulife
Prescription drug coverage
Virtual healthcare through TELUS Health Virtual Care
TELUS Virtual Pharmacy
Mental health and counseling services
Employee Assistance Program (EAP)
Mental Health Ally Program
Life Insurance
Accidental Death & Dismemberment (AD&D) Insurance
Leave of Absence and Disability support programs
Wellbeing resources, events, and champion networks
Group Registered Pension Plan (RPP) for associates on Canada payroll
Employer matching contributions under the RPP (subject to plan terms)
Group Registered Retirement Savings Plan (RRSP)
Competitive group investment rates through Manulife

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable language

Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.

If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!

#CB#Ind123

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More about this job

Responsibilities

Design, build, and deploy claims summarization agents and multi-agent workflows that analyze structured and unstructured insurance claims data, using enterprise LLMs, agent frameworks, and RAG. Develop scalable Azure Databricks pipelines and implement human review, governance, security, monitoring, and evaluation to support reliable and compliant claims operations.

Requirements

Requires 8+ years of software, data, or AI engineering experience and 3+ years of hands-on Generative AI and LLM experience, including enterprise-scale agents and RAG applications. Strong expertise in Azure, Databricks, Python, PySpark, agent frameworks, and AI governance is expected; insurance claims experience is highly preferred.

Skills

Generative AI
Agentic AI
Azure Databricks
Python
PySpark
SQL
Large Language Models
RAG
LangGraph
LangChain
AutoGen
CrewAI
Databricks Mosaic AI
Azure OpenAI
MLflow
Azure AI Search

Benefits

Extended Group Health Plan
Prescription Drug Coverage
Virtual Healthcare
Virtual Pharmacy
Mental Health and Counseling Services
Employee Assistance Program
Mental Health Ally Program
Life Insurance
Accidental Death and Dismemberment Insurance
Leave of Absence and Disability Support
Wellbeing Resources
Group Registered Pension Plan

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
Claims Summarization
Insurance Claims
Large Language Models
Azure OpenAI
Anthropic Claude
Google Gemini
LangGraph
LangChain
AutoGen
CrewAI
LlamaIndex
Databricks Mosaic AI
Retrieval-Augmented Generation
RAG
Vector Search
Azure AI Search
Azure Databricks
PySpark
Python
SQL
MLflow
Unity Catalog
Delta Lake
LakeFlow Pipelines
Prompt Engineering
Human-in-the-Loop
Responsible AI
Model Evaluation

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