Req ID: 382101

We are currently seeking a Applied AI Researcher to join our team in Jersey City, New Jersey (US-NJ), United States (US).

Applied AI Researcher

GenAI / NLP / Agentic AI / Applied Machine Learning

Bridge advanced AI research and practical enterprise use cases by validating models, methods, and prototypes that can become production-grade AIRP solutions. The role focuses on measurable business value, rigorous experimentation, model behavior, and safe translation of research into banking-relevant applications.

Client-specific emphasis

• Research must be grounded in enterprise business use cases, not generic AI experimentation.
• Candidates should understand how model, retrieval, data, evaluation, latency, cost, and safety decisions affect production delivery on AIRP.
• Cloud/AWS awareness is valuable because successful research outputs must be handed off to engineering teams building on AWS-hosted AIRP.

Primary ownership

• Applied research agenda for LLMs, NLP, RAG, evaluation, multimodal AI, and agentic workflows relevant to enterprise use cases.
• Prototypes, experiments, benchmark design, model-selection recommendations, and production-readiness evidence.
• Research-to-production handoff with AI engineering, AIRP platform, product, risk, and governance teams.

Key responsibilities

• Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI.
• Design experiments to evaluate model performance, robustness, safety, scalability, interpretability, enterprise usefulness, and production feasibility.
• Prototype AI solutions for KYC, credit underwriting, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening.
• Develop evaluation methodologies using golden datasets, adversarial testing, offline benchmarks, human review, business outcome metrics, and risk-specific acceptance criteria.
• Assess prompt optimization, RAG, fine-tuning, instruction tuning, synthetic data generation, distillation, and model adaptation techniques.
• Document model limitations, data assumptions, hallucination patterns, bias risks, performance boundaries, and control recommendations for regulated deployment.
• Collaborate with engineers to convert prototypes into production-ready AIRP requirements, including latency, cost, observability, security, and AWS/cloud deployment considerations.
• Track emerging AI research and translate relevant advances into practical recommendations for the enterprise.

Basic Qualifications:

• Advanced degree preferred, usually MS or PhD in AI, ML, computer science, statistics, computational linguistics, mathematics, or related field.
• 3+ years of experience in machine learning, deep learning, NLP, transformers, information retrieval, and generative AI.
• 3+ years of experience with LLMs, embeddings, RAG, model evaluation, and applied GenAI experimentation.
• 3+ years of experience in Python with PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent research frameworks.
• 3+ years of experience designing rigorous experiments and communicating findings to technical, product, business, risk, and governance stakeholders.
• 3+ years of experience translating research results into production requirements suitable for an AWS-hosted enterprise platform.

Preferred experience

• Research or applied science experience in banking, finance, compliance, risk, legal, operations, financial crime, sanctions, or enterprise knowledge systems.
• Experience with AWS Bedrock, SageMaker, vector search, MLflow, Databricks, model evaluation tooling, or cloud-based experimentation environments.
• Publications, patents, internal research contributions, open-source AI contributions, or prior research-to-production handoffs.
• Familiarity with Responsible AI, model validation, privacy constraints, audit documentation, and regulated deployment environments.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $104,904 - $182,125 per year. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, 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.

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