Required. AI & Data Analytics Engineer AI & Data Analytics Engineer

Job description

**Req ID:** 384906 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Required. AI & Data Analytics Engineer AI & Data Analytics Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN). **Job Description – AI & Data Analytics Engineer** **Experience:** 5+ Years **Location:** Bangalore **Work Environment:** Office / Hybrid - 2 to 3 days from client office Position Summary We are seeking an innovative **AI & Data Analytics Engineer** to design, develop, and deploy next-generation AI-powered analytics platforms that transform complex enterprise data into actionable business insights. This role combines expertise in Artificial Intelligence, Data Engineering, Analytics, and Business Intelligence to build intelligent, scalable, and production-ready solutions. The ideal candidate will have strong experience in Python development, enterprise data engineering, Large Language Models (LLMs), and modern analytics technologies. You will collaborate with product managers, software engineers, data engineers, and business stakeholders to build AI-driven applications that enable intelligent decision-making through conversational analytics, semantic data models, and advanced data pipelines. Key Responsibilities AI Application Development - Design, develop, and deploy production-grade AI applications using Large Language Models (LLMs). - Build agentic AI systems utilizing function-calling architectures, structured outputs, and advanced prompt engineering techniques. - Develop and orchestrate multi-agent AI workflows for planning, reasoning, data retrieval, and intelligent response generation. - Optimize AI workflows through model orchestration, routing strategies, fallback mechanisms, and prompt optimization. - Develop evaluation frameworks to measure AI quality, response accuracy, SQL generation, routing performance, and overall system effectiveness. Data Engineering - Design and develop scalable ETL/ELT pipelines to ingest, transform, validate, and manage enterprise datasets. - Integrate structured, semi-structured, and geospatial data from multiple enterprise systems. - Build and maintain semantic data layers including schema normalization, metadata mapping, and enterprise data models. - Implement data quality, validation, lineage, and governance best practices. - Optimize data processing pipelines for scalability, performance, and reliability. Analytics & Business Intelligence - Develop conversational analytics platforms and AI-assisted business intelligence applications. - Build interactive dashboards and data visualization solutions using modern BI tools. - Design scalable analytical models that enable self-service reporting and enterprise decision support. - Collaborate with business stakeholders to translate analytical requirements into impactful AI and data solutions. Collaboration & Platform Engineering - Partner with Product Managers, Data Engineers, Software Engineers, and business teams to deliver end-to-end AI solutions. - Participate in architecture discussions, technical design reviews, and solution planning. - Ensure AI and analytics platforms are secure, scalable, reliable, maintainable, and production-ready. - Document solution designs, implementation approaches, and technical best practices. **Required Qualifications** - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field. - Minimum 5+ years of experience in Artificial Intelligence, Machine Learning, Data Engineering, Analytics, or related disciplines. - 3+ years of strong hands-on experience developing production-grade applications using Python. - 3+ years pf experience working with structured, semi-structured, and geospatial datasets. - Experience building enterprise analytics platforms or decision-support systems. - Strong analytical thinking and problem-solving skills. - Excellent written and verbal communication skills with the ability to work effectively across technical and business teams. **Required Technical Skills** Programming - Python - SQL - Pydantic Artificial Intelligence & LLMs - OpenAI GPT - Google Gemini - Anthropic Claude - Function Calling - Structured Outputs - Prompt Engineering - Agentic AI - Multi-Agent Architectures Data Engineering - ETL/ELT Pipeline Development - DuckDB - PostgreSQL - Databricks - AWS S3 - Enterprise Data Platforms - Data Modeling - Metadata Management - Data Quality Frameworks Analytics & Business Intelligence - Power BI - Streamlit - Tableau - Interactive Dashboards - Conversational Analytics - Business Intelligence - Semantic Data Models **Preferred Qualifications** - Experience designing enterprise AI solutions leveraging Retrieval-Augmented Generation (RAG) and semantic search. - Experience integrating AI capabilities into enterprise applications and business workflows. - Familiarity with cloud-native AI and analytics architectures on AWS or Azure. - Knowledge of AI governance, model evaluation, observability, and responsible AI best practices. - Experience with API integrations, microservices, and scalable enterprise application architectures. **About NTT DATA** 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. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top E