• Architect, develop, and operationalize LLM based solutions using Azure OpenAI (GPT models, embeddings, vector search). • Build agentic AI systems and multi agent orchestration using frameworks such as LangChain, LangGraph, or equivalent. • Implement RAG systems, retrieval pipelines, embeddings, and prompt engineering best practices. • Develop scalable AI/microservice architectures using Python, containers, APIs, and event driven systems. • Build and maintain MLOps pipelines including CI/CD for model deployment, versioning, monitoring, and telemetry. • Perform data engineering tasks including ETL, ingestion, transformation, and vectorization. • Deploy AI workloads securely on Azure cloud following enterprise security and governance standards. • Partner with business and tech stakeholders to translate business challenges into AI driven solutions. • Support model interpretability, explainability, and regulatory compliance for AI/ML systems.

• Build and deploy AI models for NLP, computer vision, and generative AI use cases • Utilize platforms such as Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework • Integrate AI capabilities into enterprise workflows and applications • Apply Responsible AI principles ensuring fairness, transparency, and security • Collaborate with data engineers, cloud architects, and business analysts

Role Description We are currently seeking a Data Engineer Advisor to join our team in Remote, Karnātaka (IN-KA), India. Job Duties: Key Responsibilities - Develop and maintain data models - Logical and Physical, to support business needs ensuring data integrity for Insurance domains. - Design models aligned to Databricks medallion architecture by translating the requirements of underwriting, delegated authority, reinsurance, actuarial, claims, and finance. - Implement and maintain modelling standards, naming conventions, metadata, and documentation working closely with data analysts, data engineers, and associates in the data office. - Review existing models and propose simplification, standardisation, and target state improvements across projects and for wider requirements. - Lead the evolution of requirements, refine and translate the specifications into data models to enable the development phase. - Ensure the models accurately reflect Insurance processes and data elements before handing it over to engineering. Qualifications - Experience delivering data models for P&C, Specialty insurance projects with exposure to Lloyd’s/London Market and Syndicate data structures is required. - Understanding of insurance domain concepts and proficiency with data modelling tools (e.g., Erwin). - Expertise in enterprise data modelling, including conceptual, logical, and physical models for transactional domains. - Experience in data modelling using Dimensional Star/Snowflake, Data Vault, and 3NF methodologies. - Knowledge of data warehousing and ETL/ELT pipelines. - Experience with Azure Data Factory and Databricks, designing data pipelines can be advantageous. - Understanding and knowledge of system development life cycle methodologies (such as agile software development). - Excellent collaboration and communication skills to deal with senior leaders, stakeholders, and technical teams is required. - Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative ideas. Company Description NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. - One of the world's leading AI and digital infrastructure providers. - Unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. - Consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. - A Global Top Employer with experts in more than 50 countries. - Access to a robust ecosystem of innovation centers as well as established and start-up partners. - Part of NTT Group, which invests over $3 billion each year in R&D.

Implement batch processing logic for healthcare claims, ensure data accuracy through validation and quality checks, and collaborate with cross-functional teams to optimize data processing performance and resolve transformation issues.