We are currently seeking a Prompt Engineer to join our team in Jersey City, New Jersey (US-NJ), United States (US). Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role purpose Design, test, govern, and continuously improve prompts, system instructions, conversation flows, and interaction patterns for LLM applications. The role ensures model outputs are accurate, grounded, safe, consistent, cost-aware, and aligned with business and compliance expectations. Primary ownership - Prompt patterns, system instructions, response templates, and conversation policies for LLM use cases. - Prompt testing, versioning, evaluation, and quality improvement workflows. - Prompt-security and output-quality analysis for RAG, assistants, copilots, and agents. Key responsibilities - Design prompts for chatbots, copilots, RAG systems, document analysis, summarization, workflow agents, and knowledge assistants. - Develop system prompts, few-shot examples, tool-use instructions, response formats, escalation logic, and conversation policies. - Optimize prompts for accuracy, relevance, groundedness, tone, compliance, latency, token efficiency, and repeatability. - Build reusable prompt libraries and templates aligned to enterprise standards and business domains. - Evaluate prompt performance using metrics such as task success, groundedness, hallucination rate, completeness, safety, and user satisfaction. - Partner with engineers to implement prompt versioning, testing, deployment, and monitoring in production systems. - Support RAG quality by assessing retrieval context, chunking quality, source citation behavior, and response synthesis. - Conduct adversarial testing for prompt injection, jailbreaks, instruction conflicts, sensitive-data leakage, and unsafe outputs. Must-have candidate profile - 4+ Years Strong understanding of LLM behavior, prompt design, tokenization, context windows, RAG, embeddings, and model limitations. - 4+ years Hands-on experience with OpenAI APIs, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Semantic Kernel, or similar platforms. - Ability to debug LLM outputs using structured testing, error analysis, and iterative refinement. - Strong writing, analytical, communication, and stakeholder-management skills. - Understanding of prompt-security risks including prompt injection, jailbreaks, data leakage, and hallucination. Preferred experience - Background in NLP, conversational AI, UX writing, technical writing, product design, knowledge management, or business analysis. - Experience in financial services, legal, compliance, risk, operations, customer support, or enterprise knowledge domains. - Familiarity with prompt registries, A/B testing, human review workflows, and evaluation tooling. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the nature of the role offered and will either be [$139,872 - $209,808], or [$80-$100] if the role is hired as a temporary position. 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. If the position offered in temporary, the position will not be eligible for incentive compensation.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.