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NTT DATA Logo NTT DATA · IT - Software Development

Ai Foundational Model Engineer

United States, Jersey City Employment contract 139872.00 - 209808.00 USD / Year · Job Posted July 04, 2026
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Job Description

We are currently seeking a AI Foundational Model Engineer to join our team in Jersey City, New Jersey (US-NJ), United States (US). Role purpose: Design, build, deploy, and optimize enterprise-grade AI systems powered by foundation models, LLMs, retrieval-augmented generation, and agentic AI workflows. The role converts AI concepts into secure, scalable, observable, and supportable production systems suitable for a regulated financial-services environment.

Job Responsibility

  • Design and implement LLM-powered applications such as knowledge assistants, document intelligence solutions, workflow agents, summarization tools, and decision-support systems
  • Build RAG pipelines using embeddings, chunking strategies, vector databases, semantic retrieval, reranking, response grounding, and citation patterns
  • Adapt and optimize models using LoRA, PEFT, instruction tuning, distillation, transfer learning, quantization, and domain adaptation techniques
  • Develop scalable APIs, microservices, model-serving components, and integration patterns across cloud, hybrid, or containerized environments
  • Optimize inference workloads for latency, throughput, token efficiency, cost, reliability, and user experience
  • Implement model and application observability, including prompt logs, retrieval quality, hallucination indicators, drift signals, feedback loops, cost telemetry, and service health
  • Embed security, privacy, Responsible AI, and model risk controls into AI application design and delivery
  • Create production documentation, runbooks, release notes, test evidence, and audit-ready implementation records

Requirements

  • 7+ years in AI/ML engineering, platform engineering, software engineering, or applied machine learning
  • Hands-on experience with LLMs, transformers, embeddings, RAG, semantic search, and GenAI application patterns
  • Strong Python engineering skills with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks
  • Experience deploying production AI services using APIs, containers, Kubernetes, CI/CD, cloud-native services, and monitoring platforms
  • Practical knowledge of model evaluation, fine-tuning, inference optimization, and secure data handling

Nice to have

  • Banking, risk, compliance, financial crime, operations, or enterprise technology background
  • Experience with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks, vLLM, Triton, MLflow, Kubeflow, or model gateways
  • Exposure to model risk, AI governance, audit controls, AI cost governance, and private or open-source LLM deployments

What we offer

  • 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
  • Additional voluntary or legally-required benefits
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