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

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 Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us . NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. 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