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Prompt Engineering Jobs (NOW HIRING)

Prompt Engineer

Norfolk, VA · On-site

$95K - $130K/yr

Prompt Engineer About the Role As a Prompt Engineer (LLM / Generative AI) , you will make an impact ... You will be a valued member of the engineering team and collaborate with product managers, data ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

Prompt Engineer

El Segundo, CA · On-site

$60K - $105K/yr

Partner with product, engineering, and design to rapidly prototype and iterate on prompts for ... Build prompt templates and libraries that enable reusable, scalable AI solutions across the ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

Partner with product, engineering, and design to rapidly prototype and iterate on prompts for production LLM applications across diverse use cases. Turn around prompt revisions within tight cycles ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques. * Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques. * Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques. * Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

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Prompt Engineering information

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$32.5K

$63K

$95.5K

How much do prompt engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for prompt engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What are the key skills and qualifications needed to thrive in the Prompt Engineering position, and why are they important?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What cities are hiring for Prompt Engineering jobs? Cities with the most Prompt Engineering job openings:
What are the most commonly searched types of Prompt Engineering jobs? The most popular types of Prompt Engineering jobs are:
What states have the most Prompt Engineering jobs? States with the most job openings for Prompt Engineering jobs include:
Infographic showing various Prompt Engineering job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
Prompt Engineer

$95K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Prompt Engineer
About the Role
As a Prompt Engineer (LLM / Generative AI), you will make an impact by designing and delivering intelligent AI-powered solutions using large language models. You will be a valued member of the engineering team and collaborate with product managers, data scientists, and business stakeholders to build scalable, production-ready AI applications.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
In This Role, You Will:
  • Design, develop, and deploy LLM-powered applications using Python
  • Integrate and manage OpenAI APIs (GPT models, embeddings, function calling, assistants, fine-tuning)
  • Create, test, and optimize prompt engineering strategies for accuracy, reliability, and cost-efficiency
  • Build pipelines for retrieval-augmented generation (RAG) using vector databases
  • Implement LLM evaluation, monitoring, and observability techniques (prompt versioning, output scoring, hallucination detection)
  • Optimize latency, token usage, and cost for production LLM workloads
  • Develop APIs, backend services, and microservices to support AI solutions
  • Collaborate with cross-functional teams to translate business requirements into AI-driven features
  • Ensure solutions follow security, privacy, and responsible AI best practices
  • Stay current with evolving LLM technologies and prompt engineering techniques

Work Model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in Norfolk, Virginia, United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programs.
What You Need to Have to Be Considered:
  • Strong proficiency in Python (data structures, APIs, async programming)
  • Hands-on experience with OpenAI APIs or comparable LLM providers
  • Practical experience with prompt engineering techniques (few-shot, chain-of-thought, system prompts, guardrails)
  • Experience building production-ready applications using LLMs
  • Familiarity with REST APIs, JSON, and backend frameworks (FastAPI, Flask, or Django)
  • Solid understanding of NLP concepts and limitations of LLMs
  • Experience with version control systems (Git)

Preferred Qualifications:
  • Experience with frameworks such as LangChain or LlamaIndex
  • Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate)
  • Knowledge of SQL / NoSQL databases
  • Experience with cloud platforms (AWS, GCP)
  • Exposure to DevOps practices such as Docker and CI/CD pipelines

Salary and Other Compensation
Applications will be accepted until July 31, 2026.
The annual salary for this position is between $95,000 - $130,000, 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 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.
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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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