Overview
Skills
Job Details
Role Scope / Deliverables:
- Architect end-to-end LLM solutions for chatbot applications, semantic search, summarization, and domain-specific assistants.
- Design modular, scalable LLM workflows including prompt orchestration, RAG (retrieval-augmented generation), vector store integration, and real-time inference pipelines.
- Leverage Databricks Unity Catalog for:
- Centralized governance of AI training and inference datasets
- Managing metadata, lineage, access controls, and audit trails
- Cataloging feature tables, vector embeddings, and model artifacts
- Collaborate with data engineers and platform teams to ingest, transform, and catalog datasets used for fine-tuning and prompt optimization.
- Integrate feedback loop systems (e.g., user input, signal-driven reinforcement, RLHF) to continuously refine LLM performance.
- Optimize model performance, latency, and cost using a combination of fine-tuning, prompt engineering, model selection, and token usage management.
- Oversee secure deployment of models in production, including access control, auditability, and compliance alignment via Unity Catalog.
- Guide teams on data quality, discoverability, and responsible AI practices in LLM usage.
Key Skills:
- 7+ years in AI/ML solution architecture, with 2+ years focused on LLMs and Generative AI.
- Strong experience working with OpenAI (GPT-4/o), Claude, Gemini, and integrating LLM APIs into enterprise systems.
- Proficiency in Databricks, including Unity Catalog, Delta Lake, MLflow, and cluster orchestration.
- Deep understanding of data governance, metadata management, and data lineage in large-scale environments.
- Hands-on experience with chatbot frameworks, LLM orchestration tools (LangChain, LlamaIndex), and vector databases (e.g., FAISS, Weaviate, Pinecone).
- Strong Python development skills, including notebooks, REST APIs, and LLM orchestration pipelines.
- Ability to map business problems to AI solutions, with strong architectural thinking and stakeholder communication.
- Familiarity with feedback loops and continuous learning patterns (e.g., RLHF, user scoring, prompt iteration).
- Experience deploying models in cloud-native and hybrid environments (AWS, Azure, or Google Cloud Platform).
Preferred Qualifications:
- Experience fine-tuning or optimizing open-source LLMs (e.g., LLaMA, Mistral) with tools like LoRA/QLoRA.
- Knowledge of compliance requirements (HIPAA, GDPR, SOC2) in AI systems.
- Prior work building secure, governed LLM applications in highly regulated industries.
- Background in data cataloging, enterprise metadata management, or ML model registries
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 us.nttdata.com
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Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this role is $51.27 to 61.94 W2. Actual compensation will depend on several factors, including the candidate s relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.