Prompt Engineer

NTT DATA Services; Jersey (GA); On-site; USD 105,000 - 182,000; Full time

Job summary

NTT DATA seeks a Prompt Engineer to design, test, govern, and continually improve prompts, system instructions, conversation flows, and interaction patterns for AIRP LLM applications and related citizen-development experiences. The role emphasizes enterprise use cases with robust prompt security and evaluation.

You will collaborate with engineers to implement prompt versioning, testing, deployment, and monitoring in production systems and CI/CD workflows, ensuring accuracy, grounding, and cost

Qualifications

• 3+ years of experience with LLM behavior, prompt design, tokenization and context windows.
• 3+ years of experience with OpenAI/Azure OpenAI/AWS Bedrock or similar platforms.
• 3+ years of experience debugging LLM outputs using structured testing and iterative refinement.

Responsibilities

• Design prompts for chatbots, copilots, RAG systems, and knowledge assistants.
• Develop system prompts, few-shot examples and response formats.
• Optimize prompts for governance, grounding, and citations.
• Build reusable prompt libraries aligned to enterprise standards.
• Evaluate prompt performance using metrics like groundedness and safety.

Skills

LLM behavior

Prompt design

Tokenization/Context

RAG/Embeddings

APIs/Platforms

Testing & Evaluation

Tools

Copilot Studio

Power Platform

LangChain

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

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 AIRP LLM applications and related citizen-development experiences. The role ensures model outputs are accurate, grounded, safe, consistent, cost-aware, and aligned with business and compliance expectations.

Client-specific emphasis

• Prompt work must support enterprise business use cases, not generic chatbot experimentation.
• Reusable prompt patterns should be suitable for AIRP and, where applicable, Copilot Studio / Power Platform citizen-development scenarios.
• Candidates must understand prompt security, sensitive data handling, citations/grounding, and structured evaluation.

Primary ownership

• Prompt patterns, system instructions, response templates, and conversation policies for AIRP LLM use cases.
• Prompt testing, versioning, evaluation, and quality-improvement workflows.
• Reusable prompt libraries and guardrail patterns for business teams and responsible citizen development where applicable.

Key responsibilities

• Design prompts for chatbots, copilots, RAG systems, document analysis, summarization, workflow agents, knowledge assistants, and decision-support experiences.
• Develop system prompts, few-shot examples, tool-use instructions, response formats, escalation logic, citation behavior, and conversation policies.
• Optimize prompts for KYC support, credit underwriting support, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening use cases.
• Build reusable prompt libraries and templates aligned to enterprise standards, business domains, AIRP patterns, and citizen-development guardrails.
• Evaluate prompt performance using metrics such as task success, groundedness, hallucination rate, completeness, safety, user satisfaction, latency, and token cost.
• Partner with engineers to implement prompt versioning, testing, deployment, and monitoring in production systems and CI/CD workflows.
• Support RAG quality by assessing retrieval context, chunking quality, source citation behavior, response synthesis, and missing-context behavior.
• Conduct adversarial testing for prompt injection, jailbreaks, instruction conflicts, sensitive-data leakage, unsafe outputs, and unauthorized tool use.

Basic Qualifications

• 3+ years of experience with LLM behavior, prompt design, tokenization, context windows, RAG, embeddings, and model limitations.
• 3+ years of experience experience with OpenAI APIs, Azure OpenAI, AWS Bedrock, Anthropic, LangChain, LlamaIndex, Semantic Kernel, Copilot Studio, or similar platforms.
• 3+ years of experience debugging LLM outputs using structured testing, error analysis, and iterative refinement.
• 3+ years of experience with prompt-security risks including prompt injection, jailbreaks, data leakage, hallucination, and instruction conflicts.
• 3+ years of experience creating repeatable prompt templates and evaluation evidence suitable for enterprise governance.

Preferred experience

• Strong writing, analytical, communication, and stakeholder-management skills.
• Background in NLP, conversational AI, UX writing, technical writing, product design, knowledge management, business analysis, or financial-services operations.
• Experience in financial services, legal, compliance, risk, operations, customer support, banker productivity, or enterprise knowledge domains.
• Familiarity with Microsoft Copilot Studio, Power Platform, 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 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.

#LI-NorthAmerica, #DataFID

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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 is an equal opportunity employer.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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