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Prompt Engineer Jobs in Silver Spring, MD (NOW HIRING)

Deloitte

GenAI Engineer

Rosslyn, VA · On-site

Strategize prompt use (zero/few/one-shot, role, chain-of-thought) for targeted cases. * Work with engineers to incorporate advanced prompt practices into system design. * Continuously improve prompts ...

Tata Consultancy Service Limited

Engineer

Mclean, VA · On-site

$100K - $120K/yr

Conduct evaluations, A/B tests, and model drift checks while applying prompt engineering and optimization techniques. • Collaborate and Ensure Responsible AI : Partner with cross-functional teams ...

NSS

Full Stack Engineer (AI Focused)

Herndon, VA

As part of our core product team, you'll work directly with large language models (LLMs), prompt engineering, and agent-based orchestration to bring intelligent automation to some of the most complex ...

NSS

Full Stack Engineer (AI Focused)

Herndon, VA · On-site

As part of our core product team, you'll work directly with large language models (LLMs), prompt engineering, and agent-based orchestration to bring intelligent automation to some of the most complex ...

rockITdata

AI/ML Engineer

Arlington, VA · Remote

This role will focus on Amazon Bedrock Agent configuration, prompt engineering, knowledge base development, coaching ruleset design, QA scoring rubric implementation, and continuous model evaluation.

Deloitte

Senior GenAI Engineer

Rosslyn, VA · On-site

$119K - $163K/yr

Strategize prompt use (zero/few/one-shot, role, chain-of-thought) for targeted cases. * Work with engineers to incorporate advanced prompt practices into system design. * Continuously improve prompts ...

Deloitte

Senior GenAI Engineer

Arlington, VA · On-site

$120K - $165K/yr

Strategize prompt use (zero/few/one-shot, role, chain-of-thought) for targeted cases. * Work with engineers to incorporate advanced prompt practices into system design. * Continuously improve prompts ...

Peraton

AI Process Integration Engineer

Mclean, VA

$114K/yr

Prompt Engineering & Tool Enablement * Build mission-specific prompt libraries, Boolean-to-AI logic translation guides, and structured templates that make approved tools immediately usable by ...

Peraton

AI Process Integration Engineer

Mclean, VA · On-site

$146K - $234K/yr

Prompt Engineering & Tool Enablement * Build mission-specific prompt libraries, Boolean-to-AI logic translation guides, and structured templates that make approved tools immediately usable by ...

Peraton

AI Process Integration Engineer

Mclean, VA · On-site

$114K/yr

Prompt Engineering & Tool Enablement * Build mission-specific prompt libraries, Boolean-to-AI logic translation guides, and structured templates that make approved tools immediately usable by ...

Global Alliant Inc

AI Engineer

Columbia, MD · On-site

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

Global Alliant Inc

AI Engineer

Columbia, MD · On-site +1

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

Omm IT Solutions

GenAI Engineer

Ellicott City, MD

Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs, often for specific applications (e.g., content creation, code generation, design). \n * Build ...

Global Alliant Inc

AI Engineer

Columbia, MD · On-site

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Silver Spring, MD

Prompt Engineer information

See Silver Spring, MD salary details

$10

$48

$91

How much do prompt engineer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for prompt engineer in Silver Spring, MD is $48.77, according to ZipRecruiter salary data. Most workers in this role earn between $37.12 and $62.98 per hour, depending on experience, location, and employer.

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

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a typical day look like for a Prompt Engineer?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually with bonuses and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive tech companies or leadership roles.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with AI tools. The role is expected to grow as AI adoption expands across industries.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, AI tools, and programming languages like Python can influence compensation. Entry-level positions may start lower, while experienced prompt engineers working in tech hubs tend to earn higher salaries.
What are the most commonly searched types of Prompt Engineer jobs in Silver Spring, MD? The most popular types of Prompt Engineer jobs in Silver Spring, MD are:
What are popular job titles related to Prompt Engineer jobs in Silver Spring, MD? For Prompt Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Prompt Engineer jobs in Silver Spring, MD look for? The top searched job categories for Prompt Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Prompt Engineer jobs? Cities near Silver Spring, MD with the most Prompt Engineer job openings:
Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Silver Spring, MD as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $101,442 per year, or $48.8 per hour.
GenAI Engineer

GenAI Engineer

Deloitte

Rosslyn, VA • On-site

Other

Posted 8 hours ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

57th of 139 rated financial services

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

 

Work You'll Do

As a Project - Data Management Engineer II on the project, you will:

  • Collaborate with data architects to integrate sources with AI models via AWS Bedrock and other providers (e.g., OpenAI, Cohere, Gemini).
  • Evaluate/select Foundational Models (FMs) and develop/training GenAI enhancements.
  • Implement RAG architectures by linking retrieval to generative models on cloud platforms.
  • Perform data analysis/feature engineering using AWS services.
  • Design, implement, and improve model guardrails and performance.
  • Deliver mission-aligned chatbots, knowledge bases, MCPs, and agentic workflows.
  • Identify reusable components, opportunities for automation, and platform unification.
  • Develop APIs and interfaces for secure, responsive, user-friendly applications.
  • Support platform tenants with troubleshooting/design of GenAI components.
  • Conduct code reviews, uphold code quality, and comply with Responsible AI requirements/documentation.
  • Develop and optimize prompts for LLM applications ensuring quality and relevance.
  • Strategize prompt use (zero/few/one-shot, role, chain-of-thought) for targeted cases.
  • Work with engineers to incorporate advanced prompt practices into system design.
  • Continuously improve prompts using new trends/data for optimal model performance.
  • Address ethical use and mitigate bias in prompt generation.
  • Set up robust benchmarking and evaluation for prompt engineering techniques.
  • Stay up to date on AI and prompt engineering advances to ensure cutting-edge solutions.
The successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project-focused professionals.

 

Qualifications

Required: 

  • Bachelor's degree 
  • Active High Risk Public Trust or Top Secret security clearance required
  • 1+ year of experience in GenAI solutioning or development
  • 1+ year of experience in GenAI concepts such as Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries, or similar
  • 1+ year of experience using Python for data cleaning, exploratory analysis, statistics, or visualization.
  • 1+ year of experience in object-oriented programming such as C++, Java, or Python
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 

Preferred: 

  • Experience with Git, CI/CD, and programmatic cloud service integration (e.g., AWS).
  • Knowledge of machine learning/statistical techniques for structured and unstructured data.
  • Experience extracting features from diverse data formats (JSON, XML, raw text, specific industry encodings, graph data).
  • Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK, spaCy, and Gensim.
Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

 

Work You'll Do

As a Project - Data Management Engineer II on the project, you will:

  • Collaborate with data architects to integrate sources with AI models via AWS Bedrock and other providers (e.g., OpenAI, Cohere, Gemini).
  • Evaluate/select Foundational Models (FMs) and develop/training GenAI enhancements.
  • Implement RAG architectures by linking retrieval to generative models on cloud platforms.
  • Perform data analysis/feature engineering using AWS services.
  • Design, implement, and improve model guardrails and performance.
  • Deliver mission-aligned chatbots, knowledge bases, MCPs, and agentic workflows.
  • Identify reusable components, opportunities for automation, and platform unification.
  • Develop APIs and interfaces for secure, responsive, user-friendly applications.
  • Support platform tenants with troubleshooting/design of GenAI components.
  • Conduct code reviews, uphold code quality, and comply with Responsible AI requirements/documentation.
  • Develop and optimize prompts for LLM applications ensuring quality and relevance.
  • Strategize prompt use (zero/few/one-shot, role, chain-of-thought) for targeted cases.
  • Work with engineers to incorporate advanced prompt practices into system design.
  • Continuously improve prompts using new trends/data for optimal model performance.
  • Address ethical use and mitigate bias in prompt generation.
  • Set up robust benchmarking and evaluation for prompt engineering techniques.
  • Stay up to date on AI and prompt engineering advances to ensure cutting-edge solutions.
The successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project-focused professionals.

 

Qualifications

Required: 

  • Bachelor's degree 
  • Active High Risk Public Trust or Top Secret security clearance required
  • 1+ year of experience in GenAI solutioning or development
  • 1+ year of experience in GenAI concepts such as Agentic Workflows, Knowledge Bases, Vector Stores, Prompt Libraries, or similar
  • 1+ year of experience using Python for data cleaning, exploratory analysis, statistics, or visualization.
  • 1+ year of experience in object-oriented programming such as C++, Java, or Python
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 

Preferred: 

  • Experience with Git, CI/CD, and programmatic cloud service integration (e.g., AWS).
  • Knowledge of machine learning/statistical techniques for structured and unstructured data.
  • Experience extracting features from diverse data formats (JSON, XML, raw text, specific industry encodings, graph data).
  • Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK, spaCy, and Gensim.
Education:Bachelor's DegreeEmployment Type:

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