Tech Consultant - AI Engineer

Summary: Design, develop, and deploy production-grade AI/ML and Generative AI solutions using Python, LLMs, and RAG. Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and optimize model performance on cloud platforms.

Req ID: 397052

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 Tech Consultant - AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Title: Tech Consultant – AI Engineer

Role Summary

We are seeking an experienced AI Engineer with strong hands-on expertise in designing, developing, and deploying production-grade AI/ML and Generative AI solutions. The ideal candidate should have strong experience with Python, Machine Learning, LLMs, RAG, APIs, and cloud-based AI platforms.

The role will collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, and business stakeholders to develop scalable AI solutions and integrate AI capabilities into enterprise applications.

Day to Day Job Duties

• Design, develop, test, and deploy AI/ML and Generative AI solutions for enterprise use cases.
• Build and integrate LLM-powered applications using enterprise and external data sources.
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Develop AI services, Microservices, and REST APIs using Python.
• Implement prompt engineering, embeddings, vector search, and context-management techniques.
• Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
• Integrate AI models with enterprise applications, APIs, databases, and business workflows.
• Evaluate model and LLM performance for accuracy, quality, latency, reliability, and cost.
• Deploy and operate AI solutions on AWS, Azure, or Google Cloud Platform.
• Implement monitoring, logging, evaluation, and observability for production AI applications.
• Develop automated testing and CI/CD processes for AI solutions.
• Troubleshoot production AI/ML issues and continuously improve model and application performance.
• Collaborate with business stakeholders to translate business problems into practical AI solutions.
• Participate in technical design discussions, code reviews, Agile ceremonies, and production releases.

Basic Qualifications

• 5+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.
• 3+ years of hands-on experience with Python, Machine Learning frameworks, and production AI/ML development.
• 2+ years of experience developing Generative AI, LLM, RAG, or AI-enabled applications.
• 2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.

Core Technical Skills

• Programming: Python, SQL
• AI/ML: Scikit-learn, PyTorch, TensorFlow or similar
• Generative AI: LLMs, Prompt Engineering, RAG, Embeddings
• AI Frameworks: LangChain, LangGraph, LlamaIndex or similar
• Vector Search: Pinecone, FAISS, Chroma, pgvector or similar
• API Development: REST APIs, Microservices
• Cloud AI: AWS Bedrock/SageMaker, Azure AI Foundry/Azure OpenAI, or Vertex AI
• Data: Data Processing, Feature Engineering, Model Pipelines
• DevOps/MLOps: Git, CI/CD, Model Deployment & Monitoring

Nice to Have

• Experience building Agentic AI solutions and AI agents.
• Experience with tool/function calling and multi-step AI workflows.
• Knowledge of Model Context Protocol (MCP).
• Experience with AWS Bedrock, Azure AI Foundry, OpenAI, or Anthropic APIs.
• Experience developing production-grade RAG solutions with retrieval evaluation and optimization.
• Knowledge of vector databases and semantic search.
• Experience with LLM evaluation, tracing, monitoring, and observability.
• Knowledge of AI guardrails, prompt-injection prevention, data privacy, and Responsible AI.
• Experience with Docker and Kubernetes.
• Familiarity with Databricks, Spark/PySpark, or Snowflake.
• Experience with MLOps and model lifecycle management.
• Experience in Banking, Financial Services, Insurance, Healthcare, Retail, or other enterprise domains.
• Strong analytical, software engineering, communication, and problem-solving skills.

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.

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