Palantir Foundry

Job Description

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 Palantir Foundry to join our team in Bangalore, Karntaka (IN-KA), India (IN).

Location: | Experience: 5+ years
Role Overview
We're hiring an AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers (Azure, AWS, GCP). You'll develop the full lifecycle-data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment.
Key Responsibilities
. Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
. Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
. Select/integrate/finetune LLMs & multimodal models.
. Apply prompt-engineering techniques to specific use cases and types
. Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
. Should have good understanding of DevOps
. Should have good understanding of LLM evaluation
. Should have deployed min of 2 models in production (MLOps)
. Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability.
. Unit testing of GenAI Solutions built and documentation of results.
. Collaborate with clients/Stakeholders from multiple Geographies.
. Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
Qualifications
. Bachelor's/Master's Degree or equivalent.
. 5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
. Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
. Experience delivering end-to-end GenAI based solutions.
Required Skills
. Strong Python experience to build multiple AI-ML/ GenAI Solutions.
. Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
. Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
. Should have experience working on hybrid search and re-rankers
. Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
. Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
. Experience working on NLP, CV, Deep Learning Algorithms
. Should have working experience with Open-Source Models
. Experience on UI/UX will be added advantage.

#GenAINTT

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RESUME SELECTION Guidelines:
. Delivered at least 2 GenAI/Agentic AI solutions for clients
. Extensive experience of minimum 5+ years on Python
. Delivered 3-5 successful client POCs/MVPs

#GenAINTT

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at

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 and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .

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