AI Solution Architect (Insurance) - Agentic AI & Azure Job at NTT DATA (Remote)

AI Solution Architect (Insurance) - Agentic AI & Azure

As an AI Solution Architect with NTT DATA, you’ll design agentic AI systems that...

Location

United States , Remote

Salary:

204105.00 - 285700.00 USD / Year

NTT DATA

Expiration Date

Until further notice

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

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

AI Go-to-Market Solution Architect

As an AI Solution Architect at NTT Data, you will play a critical role in drivin...

Location

Saudi Arabia , Riyadh

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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 proven track record of identifying, shaping, positioning, and closing high-value AI or technology engagements, including executive-level opportunity pursuits and proposal leadership
Experience leading complex RFP, RFI, and proposal responses, coordinating cross-functional teams, and developing compelling solution narratives and win strategies
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 (e.g., people, program, or account leadership)
Minimum of 5 years’ experience leading or co‑leading AI, data, advanced analytics, or digital transformation initiatives

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 and coordinate RFP, RFI, and RFQ responses for AI opportunities, including solution strategy, win themes, proposal development, executive presentations, and stakeholder alignment to maximize deal success
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
Contribute to account growth planning and AI sales strategy by identifying new market opportunities, developing pursuit strategies, and positioning differentiated AI solutions that align to client business objectives
Ensure responsible AI principles — including security, governance, transparency, and human oversight — are embedded into opportunity framing and solution design

Fulltime

AI Engineer - Insurance Domain

The AI Engineer role focuses on developing AI solutions for the insurance sector...

Location

United States , Warren

Salary:

87120.00 - 181500.00 USD / Year

NTT DATA

Expiration Date

Until further notice

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

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

Principal Architect - Data AI

Microsoft is on a mission to empower every person and every organization on the ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

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

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

Data Architect

Carex is partnering with a financial services industry partner to hire a Data Ar...

Location

United States , Madison

Salary:

Not provided

Carex Consulting Group

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent professional experience
Strong experience in data architecture, data modeling, data warehousing, and enterprise data platform design
Deep domain expertise within insurance and financial services environments
Expertise with Microsoft data technologies including Fabric, Azure, Data Factory, Power BI, and Copilot
Strong hands-on experience with Databricks, Snowflake, and modern cloud-based data platforms
Experience building scalable enterprise data products and modern data ecosystems
Practical experience building MVPs leveraging Agentic AI and GenAI technologies for data management and operational efficiencies
Strong understanding of modern data architecture concepts including cloud-native solutions, real-time data distribution, metadata management, and enterprise governance
Advanced proficiency with SQL, NoSQL, and enterprise data modeling tools
Experience developing and implementing enterprise data governance and data quality frameworks

Job Responsibility

Design and implement modern enterprise data architectures that support scalable, secure, and cost-effective data platforms and solutions
Establish future-state data architecture blueprints aligned to enterprise business goals and strategic data initiatives
Lead architecture efforts for data products, data lakes, data warehouses, and cloud-native environments
Develop conceptual and logical data models that promote consistency, standardization, and reusability across the organization
Drive enterprise data integration strategies across multiple systems and platforms
Partner with engineering and DevOps teams to implement scalable data storage and management solutions
Build and maintain architecture documentation including data models, lineage, standards, and data flow diagrams
Establish and enforce data governance, lineage, security, and quality management standards
Ensure architectural alignment with enterprise compliance, governance, and security requirements
Evaluate and recommend modern technologies and tools that improve data engineering and analytics capabilities

Ai engineer with java

A highly skilled AI Engineer to develop AI use cases using Gen AI and Agentic AI...

Location

India , Anywhere

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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

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

Sql And Python Engineers

We are currently seeking a SQL and Python Engineers to join our team in Remote, ...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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

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

Ai Engineer

We are currently seeking a SQL and Python Engineers to join our team in Remote, ...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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, with demonstrated delivery of production-grade AI systems
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

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 (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
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

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AI Solution Architect (Insurance) - Agentic AI & Azure

Job Description

Job Responsibility

Requirements

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