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Assistant Prompt Engineering Jobs in New York (NOW HIRING)

Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques ... delivery. Assist with establishing enterprise standards and governance for Agentic AI ...

Engineer

Stamford, CT · On-site

$70K - $75K/yr

The candidate will support development, testing, and deployment of scalable applications. Assist in ... use cases (prompt engineering, evaluation, or fine-tuning) TCS Employee Benefits Summary:

... prompt engineering, vector databases, and cloud-native AI services. The role involves building ... AI assistants, copilots, chatbots, and automation solutions. · Develop scalable RAG pipelines ...

Key Responsibilities: * Assist in the development, testing, and deployment of AI-enabled ... Support data preparation, model evaluation, prompt engineering, and AI workflow optimization ...

Prompt Engineering & LLM Expertise Apply advanced prompt engineering techniques including: Few-shot ... Hands-on experience with AI Code Assist tools such as: GitHub Copilot Windsurf Cursor AWS Q ...

... data-turn="assistant"> * Build the technical roadmap given a business requirement and own the ... like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.

Showing results 21-40

Assistant Prompt Engineering information

What is the difference between Assistant Prompt Engineering vs Prompt Engineer?

AspectAssistant Prompt EngineeringPrompt Engineer
Required CredentialsTypically a bachelor's degree in computer science, AI, or related fieldsSimilar, often requiring advanced knowledge in AI and programming
Work EnvironmentSupportive, collaborative teams working on AI projectsFocused on designing and optimizing prompts for AI models
Industry UsageCommon in AI startups, tech companies, and research labsPrimarily in AI development, NLP, and machine learning sectors
Search & Comparison IntentUnderstanding entry-level roles assisting prompt designSpecialized role for prompt optimization and AI interaction

Assistant Prompt Engineering roles typically involve supporting prompt design and require similar credentials as Prompt Engineers. While assistants focus on collaboration and support, Prompt Engineers are more specialized in creating and refining prompts for AI models. Both roles are prevalent in AI and tech industries, with assistants often serving as entry points into prompt-related work.

What are the most commonly searched types of Prompt Engineering jobs in New York? The most popular types of Prompt Engineering jobs in New York are:
What job categories do people searching Assistant Prompt Engineering jobs in New York look for? The top searched job categories for Assistant Prompt Engineering jobs in New York are:
What cities in New York are hiring for Assistant Prompt Engineering jobs? Cities in New York with the most Assistant Prompt Engineering job openings:
Infographic showing various Assistant Prompt Engineering job openings in New York as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI Engineer - NJ/ Dallas/ Atlanta

Cognizant Technology Solutions

Middletown, NJ • On-site

$104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants


Job description

Job Description
""We are seeking a GenAI Engineer to design, build, and deploy generative AI solutions that support enterprise applications, automation, knowledge discovery, and intelligent user experiences. The ideal candidate will have hands-on experience working with large language models, prompt engineering, retrieval-augmented generation, model evaluation, and application integration. Experience with Azure DevOps is helpful for supporting deployments, CI/CD workflows, and collaboration with engineering teams, though this role is not primarily DevOps-focused.
Key Responsibilities
• Design, develop, and integrate GenAI-powered applications using large language models and related AI services
• Build solutions involving prompt engineering, retrieval-augmented generation, embeddings, vector search, and AI agents
• Develop APIs, services, and application components that connect GenAI capabilities to business workflows
• Work with structured and unstructured data to support knowledge retrieval, summarization, classification, and content generation use cases
• Evaluate model performance, response quality, hallucination risk, and reliability across different scenarios
• Collaborate with product, data, engineering, and architecture teams to deliver scalable AI solutions
• Implement responsible AI practices including security, privacy, monitoring, explainability, and governance considerations
• Support deployment and release processes using tools such as Azure DevOps, Git, CI/CD pipelines, and cloud environments
• Create documentation, reusable patterns, and technical guidance for GenAI solution development
• Stay current with emerging GenAI frameworks, model capabilities, and best practices
Required Qualifications
• 3+ years of software engineering, data engineering, machine learning, or AI application development experience
• Hands-on experience building applications with large language models
• Experience with prompt engineering, RAG architectures, embeddings, and vector databases
• Proficiency in Python and familiarity with APIs, microservices, or backend development
• Experience working with cloud-based AI services, preferably on Azure
• Understanding of model evaluation, testing, monitoring, and quality improvement techniques
• Familiarity with secure development practices and enterprise application integration
• Strong problem-solving, communication, and collaboration skills
Preferred Qualifications
• Experience with Azure OpenAI Service, Azure AI Search, Azure Machine Learning, or related Azure AI services
• Working knowledge of Azure DevOps, including repositories, boards, pipelines, and release workflows
• Experience with Agentic-LLM solutions using LangChain, LangGraph, or similar tools
• Experience with vector databases or search platforms such as Azure AI Search
• Familiarity with containerization, CI/CD, and deployment automation
• Experience supporting enterprise-scale AI solutions, chatbot platforms, knowledge assistants, or intelligent automation use case"""
Salary and Other Compensation:
The annual salary for this position is between $104K to 117KK depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Application accepted till 8/23/2026
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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