CrawlJobs Logo

AI Solution Architect (Insurance) - Agentic AI & Azure

nttdata.com Logo

NTT DATA

Location Icon

Location:
United States , Remote

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

204105.00 - 285700.00 USD / Year

Job Description:

The AI Solution Architect role at NTT DATA focuses on designing innovative AI systems for the insurance industry, leveraging Azure technologies. As an AI Solution Architect with NTT DATA, you’ll design agentic AI systems that reason, plan, and act across underwriting, claims, and customer service—built on Azure and integrated with real enterprise systems.

Job Responsibility:

  • Design end‑to‑end agentic solutions on Azure, from interaction to orchestration to observability
  • Define multi‑agent patterns that collaborate across underwriting, claims, and servicing
  • Apply Azure OpenAI, prompt orchestration, tool/skills calling, memory, and planning patterns
  • Establish autonomy guardrails, human‑in‑the‑loop checkpoints, and decision traceability
  • Build LLM‑driven reasoning + retrieval for document‑intensive flows (FNOL, submissions, endorsements, SIU, etc.)
  • Deliver conversational and task agents that integrate with core insurance platforms and data
  • Use Azure AI Studio, Azure OpenAI, Azure Cognitive Search, Functions, Logic Apps, Service Bus
  • Design secure integrations with policy admin, claims, billing, CRM, and document management systems
  • Implement RAG patterns using Azure data and search services with content safety and observability
  • Architect to insurance regulatory requirements (privacy, retention, auditability)
  • Implement prompt safety, content filtering, audit logging, and explainability
  • Enforce identity, access, and data protection with Azure‑native security services
  • Provide architectural oversight across delivery teams
  • run design reviews and client workshops
  • Lead pre‑sales solutioning, reference architectures, demos, and technical storytelling

Requirements:

  • 7+ years in solution architecture or enterprise technology roles (e.g., architect, principal engineer, platform lead)
  • 3+ years delivering solutions for the insurance domain (P&C, Life, Health, or Reinsurance) in a carrier, MGA/MGU, broker, or consulting context
  • 2+ years architecting or building LLM/GenAI applications in production or regulated enterprise settings
  • 2+ end‑to‑end Azure‑hosted AI solutions delivered (from design to deployment) with measurable adoption
  • Bachelor’s degree in Computer Science, Engineering, Data/AI, or related field
  • Ability to travel 30%

Nice to have:

  • Experience with multi‑agent frameworks or orchestration layers (e.g., Semantic Kernel, LangChain, Autogen, custom planners)
  • Exposure to Copilot‑style architectures and enterprise conversational AI (e.g., role grounding, tool/plugin ecosystems)
  • Azure certifications (e.g., AZ‑305 Azure Solutions Architect Expert, AI‑102 Azure AI Engineer Associate)
  • Consulting background with client‑facing architecture leadership (pre‑sales, roadmaps, value cases)

Additional Information:

Job Posted:
February 14, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:
PREMIUM
More languages and countries
+ Unlock 31022 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for AI Solution Architect (Insurance) - Agentic AI & Azure

AI Solution Architect (Insurance) - Agentic AI & Azure

As an AI Solution Architect with NTT DATA, you’ll design agentic AI systems that...
Location
Location
United States , Remote
Salary
Salary:
204105.00 - 285700.00 USD / Year
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years in solution architecture or enterprise technology roles (e.g., architect, principal engineer, platform lead)
  • 3+ years delivering solutions for the insurance domain (P&C, Life, Health, or Reinsurance) in a carrier, MGA/MGU, broker, or consulting context
  • 2+ years architecting or building LLM/GenAI applications in production or regulated enterprise settings
  • 2+ end-to-end Azure-hosted AI solutions delivered (from design to deployment) with measurable adoption
  • Bachelor’s degree in Computer Science, Engineering, Data/AI, or related field
  • Ability to travel 30%
Job Responsibility
Job Responsibility
  • Design end-to-end agentic solutions on Azure, from interaction to orchestration to observability
  • Define multi-agent patterns that collaborate across underwriting, claims, and servicing
  • Apply Azure OpenAI, prompt orchestration, tool/skills calling, memory, and planning patterns
  • Establish autonomy guardrails, human-in-the-loop checkpoints, and decision traceability
  • Build LLM-driven reasoning + retrieval for document-intensive flows (FNOL, submissions, endorsements, SIU, etc.)
  • Deliver conversational and task agents that integrate with core insurance platforms and data
  • Use Azure AI Studio, Azure OpenAI, Azure Cognitive Search, Functions, Logic Apps, Service Bus
  • Design secure integrations with policy admin, claims, billing, CRM, and document management systems
  • Implement RAG patterns using Azure data and search services with content safety and observability
  • Architect to insurance regulatory requirements (privacy, retention, auditability)
  • Fulltime
Read More
Arrow Right

Principal Architect - Data AI

Microsoft is on a mission to empower every person and every organization on the ...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain
  • OR Master’s Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain
  • OR equivalent experience
  • 6+ years technical sales experience
  • 6+ years project management experience
  • Technical or Professional Certification in AI Domain
  • Inclusive and collaborative – driving teamwork and cross-team alignment
  • Strong partner relationship management and solution development skills
  • Conversant knowledge of competing platforms and solutions
  • Proven track record of building deep relationships with CXOs
Job Responsibility
Job Responsibility
  • Lead client engagements from definition through delivery to ensure technical and AI transformation success for our customers
  • Collaborate with enterprise customers to scope and define requirements, architect and design solutions, and deliver transformational, customized industry solutions and services, including AI-powered applications
  • Ensure all solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
  • Develop deep relationships with key customer decision makers (both Business and IT) who drive long-term innovation and transformation to our customers’ product roadmap
  • Be a Voice of Customer to share insights and best practices, connect with Engineering teams to remove key blockers and drive product improvements
  • Proactively identify opportunities for integrating modern architecture patterns and emerging technical solutions—including AI, machine learning, and generative AI—into current designs
  • Evaluate, identify, mitigate and eliminate risk, provide guidance, and propose immediate solutions
  • Communicate effectively with all stakeholders, including senior customer executives, Enterprise Architects, Developers, Data Scientists, and IT Management
  • Lead deep technical architecture discussions and development of POCs, including AI solution prototypes
  • Guide customers to production deployment and operationalization of both application and AI solutions
  • Fulltime
Read More
Arrow Right

AI Engineer - Insurance Domain

The AI Engineer role focuses on developing AI solutions for the insurance sector...
Location
Location
United States , Warren
Salary
Salary:
87120.00 - 181500.00 USD / Year
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of professional experience in AI/ML engineering, with demonstrated delivery of production-grade AI systems
  • 3+ years hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel
  • 3+ years proven experience implementing MLOps pipelines in cloud environments (Azure preferred)
  • 3+ years experience developing AI agents or automation workflows using agentic frameworks
  • 2+ years experience in financial services, insurance, or regulated industries is strongly preferred
  • Experience with P&C insurance workflows such as FNOL processing, claims triage, underwriting decisioning, or actuarial modeling
  • Familiarity with insurance regulatory requirements including NAIC guidelines and data privacy standards (CCPA, GDPR)
  • Experience implementing responsible AI principles — fairness, explainability, and bias mitigation — in regulated environments
  • Microsoft certifications: Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100) preferred
  • Exposure to Data Mesh patterns and publishing AI model outputs as domain data products
Job Responsibility
Job Responsibility
  • Generative AI & LLM Engineering: Design, fine-tune, and deploy Large Language Models (LLMs) for insurance-specific use cases including document intelligence, claims summarization, policy interpretation, and underwriting Q&A
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Azure AI Search, Pinecone, ChromaDB) to ground LLM outputs in enterprise knowledge bases
  • Develop prompt engineering frameworks and systematic evaluation pipelines to ensure LLM output quality, consistency, and safety in regulated insurance contexts
  • Integrate LLM capabilities with internal data platforms via LangChain, LlamaIndex, or Semantic Kernel
  • Evaluate and benchmark foundational models (OpenAI GPT-4o, Azure OpenAI, Claude, Mistral, Llama) against insurance-specific tasks to guide platform selection
  • AI Agents & Automation: Architect and implement autonomous AI agents capable of multi-step reasoning, tool use, and decision-making for workflows such as FNOL triage, claims routing, policy lookup, and compliance checks
  • Build agentic frameworks using patterns such as ReAct, Chain-of-Thought, and Tool-Augmented Agents to handle complex, multi-turn insurance workflows
  • Design human-in-the-loop (HITL) checkpoints and escalation logic to ensure AI agents operate within defined risk and compliance boundaries
  • Integrate agents with internal APIs, data platforms, and enterprise systems using orchestration tools such as Azure Logic Apps, Apache Airflow, or Databricks Workflows
  • Develop guardrails, monitoring, and audit logging for all deployed agents to meet regulatory and governance standards
  • Fulltime
Read More
Arrow Right

Sql And Python Engineers

We are currently seeking a SQL and Python Engineers to join our team in Remote, ...
Location
Location
India , Remote
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Data Science, Machine Learning, Software Engineering, or a related quantitative field
  • 3–5 years of professional experience in AI/ML engineering
  • Hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel
  • Proven experience implementing MLOps pipelines in cloud environments (Azure preferred)
  • Experience developing AI agents or automation workflows using agentic frameworks
  • Prior experience in financial services, insurance, or regulated industries is strongly preferred
  • Technical skills: Generative AI & LLMs (OpenAI / Azure OpenAI, Claude, Mistral, or open-source LLMs
  • RAG architectures, vector search, embeddings
  • LangChain, LlamaIndex, Semantic Kernel
  • Prompt engineering, few-shot learning, instruction tuning, RLHF concepts)
Job Responsibility
Job Responsibility
  • Design, fine-tune, and deploy Large Language Models (LLMs) for insurance-specific use cases including document intelligence, claims summarization, policy interpretation, and underwriting Q&A
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases to ground LLM outputs in enterprise knowledge bases
  • Develop prompt engineering frameworks and systematic evaluation pipelines to ensure LLM output quality, consistency, and safety in regulated insurance contexts
  • Integrate LLM capabilities with internal data platforms via LangChain, LlamaIndex, or Semantic Kernel
  • Evaluate and benchmark foundational models against insurance-specific tasks
  • Architect and implement autonomous AI agents capable of multi-step reasoning, tool use, and decision-making for workflows such as FNOL triage, claims routing, policy lookup, and compliance checks
  • Build agentic frameworks using patterns such as ReAct, Chain-of-Thought, and Tool-Augmented Agents
  • Design human-in-the-loop checkpoints and escalation logic
  • Integrate agents with internal APIs, data platforms, and enterprise systems using orchestration tools
  • Develop guardrails, monitoring, and audit logging for all deployed agents
Read More
Arrow Right

Ai engineer with java

A highly skilled AI Engineer to develop AI use cases using Gen AI and Agentic AI...
Location
Location
India , Anywhere
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced proficiency in Java, with strong understanding of concurrency, memory management, and JVM optimization
  • Experience with LangChain4j, Spring AI, Spring Batch, Quarkus for AI application development
  • Demonstrated experience with Gen AI, LLM integration, and Agentic architectures
  • Familiarity with Azure AI ecosystem (Azure ML, Cognitive Search, OpenAI Service)
  • Proficiency in API design, unit testing, and CI/CD pipelines using tools such as Maven, Gradle, or GitHub Actions
  • Strong communication skills and ability to produce technical design documents and architecture diagrams
Job Responsibility
Job Responsibility
  • Design, implement, and orchestrate Agentic AI systems using LangChain4j, Spring AI, and other JVM-based frameworks to enable autonomous reasoning, decision-making, and task execution across insurance processes such as claims triage, underwriting, and customer service
  • Develop RAG pipelines and LLM-based reasoning components using Java to deliver accurate, context-aware insights grounded in insurance documentation and structured data
  • Build and optimize secure, high-performance RESTful APIs in Java/Spring Boot to interface with generative models, knowledge bases, and insurance core systems
  • Containerize and deploy AI workloads on Microsoft Azure, leveraging Azure OpenAI Service, Azure ML, and App Services for robust scalability, monitoring, and compliance
  • Work closely with data engineers, solution architects, and business analysts to embed AI capabilities within existing insurance ecosystems integrating policy data, claims systems etc
  • Fulltime
Read More
Arrow Right

Alliance Sales Executive - Insurance

The Alliance Sales Executive role at NTT DATA focuses on driving new business op...
Location
Location
United States , Plano
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum of 10 years of experience in IT services, consulting, managed services
  • At least 7 years in a Sales or new business development role, with 5+ years selling into insurance Services organizations
  • Demonstrated success in alliance-based selling, particularly in collaboration with hyperscalers (Microsoft, AWS, Azure, GCP, Cisco) to drive joint go-to-market initiatives
  • Proven track record of exceeding annual sales quotas of $15M+ TCV
  • Deep domain expertise in Banking/Financial Services, with experience selling consulting and IT solutions in this space
  • Proven experience selling AI, GenAI, or Agentic AI solutions in enterprise environments
  • Bachelor’s degree required
  • Willingness to travel up to 40%
Job Responsibility
Job Responsibility
  • Drive new logo acquisition and revenue growth within the insurance vertical, meeting or exceeding targets for Total Contract Value (TCV), In-Year Revenue, and Gross Margin
  • Act as a strategic alliance seller, collaborating with hyperscalers to co-develop and co-sell joint solutions tailored to the needs of top insurance accounts
  • Lead the sales of AI, GenAI, and Agentic AI solutions, aligning emerging technologies with client business goals and transformation initiatives
  • Partner with Client Executives, Consulting Leads, and Solution Architects to shape and execute go-to-market strategies across the NTT DATA portfolio
  • Serve as the Deal Pursuit Lead, managing executive-level communications with client sponsors and NTT DATA leadership
  • Leverage marketing and lead generation resources to create targeted campaigns that drive demand and pipeline growth
  • Maintain a strong understanding of market trends, competitive dynamics, and client needs to position NTT DATA as a trusted advisor
  • Consistently achieve or exceed sales quotas in TCV, Revenue, or Gross Margin
Read More
Arrow Right

AI Solution Architect

The AI Solution Architect at NTT DATA will play a pivotal role in driving AI-led...
Location
Location
Saudi Arabia , Riyadh
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience developing and executing go‑to‑market strategies for advanced technology or AI‑led solutions
  • Deep understanding of Generative AI, machine learning, and natural language processing concepts and real‑world use cases
  • Proven ability to influence senior executives and communicate complex technical concepts in a clear, business‑focused manner
  • A strong commercial mindset with a track record of shaping, positioning, and closing high‑value technology engagements
  • Familiarity with leading cloud platforms such as Azure, AWS, and GCP
  • The ability to operate effectively in a fast‑paced, matrixed, and growth‑oriented environment
  • Bachelor’s degree or equivalent practical experience in a relevant field
  • 8–12 years of professional experience in consulting, professional services, or industry roles, including significant client‑facing responsibility and progressive leadership exposure
  • Minimum of 5 years’ experience leading or co‑leading AI, data, advanced analytics, or digital transformation initiatives
  • At least 2 years of hands‑on experience working with Generative AI solutions such as large language models, AI agents, or GenAI‑enabled applications
Job Responsibility
Job Responsibility
  • Define, own, and execute the AI go‑to‑market strategy for assigned mega accounts or regional portfolios within Financial Services and Retail
  • Build and maintain strong relationships with C‑suite and senior executive stakeholders
  • Identify, qualify, and shape AI transformation opportunities aligned to client priorities and industry trends
  • Develop compelling AI value propositions, business cases, and solution narratives that address industry‑specific challenges
  • Partner with Client Partners, Sales teams, and Industry Leaders to originate, position, and close AI‑driven engagements
  • Lead executive‑level presales activities including opportunity shaping, solution design, and proposal positioning
  • Drive AI pipeline growth, revenue performance, and commercial success across assigned accounts
  • Ensure responsible AI principles — including security, governance, transparency, and human oversight — are embedded into opportunity framing and solution design
  • Operate effectively within a matrixed organization, collaborating across business, delivery, and leadership teams
  • Fulltime
Read More
Arrow Right
New

Property Manager

We are seeking an experienced Property Manager to support the management and ope...
Location
Location
United States , Bessemer
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Demonstrated experience managing residential, commercial, or mixed-use properties
  • Working knowledge of property operations, tenant relations, leasing practices, and occupancy management
  • Familiarity with regulations and compliance expectations within a housing environment
  • Ability to coordinate maintenance activities and partner effectively with vendors and service teams
  • Strong organizational skills with the ability to manage documentation, timelines, and multiple priorities
  • Comfortable tracking property performance, payment activity, and operational records with accuracy
  • Effective communication skills for working with residents, contractors, and cross-functional stakeholders
Job Responsibility
Job Responsibility
  • Direct daily operations for assigned properties, including occupancy coordination, tenant relations, and overall site performance
  • Manage leasing activities, renewals, and resident communication to support stable occupancy and positive tenant experiences
  • Oversee maintenance coordination and vendor follow-up to help ensure properties remain safe, functional, and well maintained
  • Monitor rent collections, delinquencies, and property-level financial activity while supporting accurate records and reporting
  • Ensure properties operate in accordance with applicable standards, lease requirements, and program guidelines
  • Conduct regular site reviews to identify operational issues, address property concerns, and maintain community appearance
  • Work with internal teams, contractors, and service providers to resolve issues efficiently and support ongoing property needs
  • Maintain organized documentation related to residents, inspections, compliance matters, and day-to-day property administration
What we offer
What we offer
  • Medical
  • Vision
  • Dental
  • Life and disability insurance
  • 401(k) plan
Read More
Arrow Right