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Manager Prompt Engineering Jobs in Washington, DC

S27a

AI/ML Engineer Onsite (Washington, DC)

Washington, DC · On-site

$150 - $200/hr

Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ... Hands‑on experience with LLMs, RAG systems, and prompt engineering in production environments.

Brivo

Sr. Software Engineer - AI Platform

Bethesda, MD

$150K - $170K/yr

Deliver generative AI capabilities across the platform--prompt engineering, tool/function calling ... Collaborate effectively with product managers and designers to design and deliver high-quality ...

Cliff Services Inc

Enterprise Architect IV

Reston, VA · On-site

$55 - $62/hr

Model and manage architecture data structures and metadata to support automated analysis, lineage ... Apply prompt engineering best practices to create reusable prompt libraries, templates, and ...

System One Holdings, LLC

AI Engineer

Washington, DC · On-site

$52.85/hr

Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired ... Deploy and manage solutions in distributed and cloud environments * Collaborate with cross ...

System One

AI Engineer

Washington, DC · Remote

$41.85/hr

Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired ... Deploy and manage solutions in distributed and cloud environments * Collaborate with cross ...

System One

AI Engineer

Washington, DC · Remote

$41.85/hr

Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired ... Deploy and manage solutions in distributed and cloud environments * Collaborate with cross ...

rockITdata

AI/ML Engineer

Arlington, VA · Remote

This role will focus on Amazon Bedrock Agent configuration, prompt engineering, knowledge base ... Experience with version-controlled prompt management and A/B testing of prompt variants * Strong ...

Omm IT Solutions

GenAI Engineer

Ellicott City, MD

Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing. \n \n \n \n \n \n \n \n Position Description: \n \n ...

rockITdata

AI/ML Engineer

Arlington, VA · On-site

$150 - $200/hr

This role will focus on Amazon Bedrock Agent configuration, prompt engineering, knowledge base ... Experience with version-controlled prompt management and A/B testing of prompt variants * Strong ...

Jobtailor

Legal Engineer - Transactional

Washington, DC · On-site

$150 - $200/hr

Prompt Engineering * Legal Technology Configuration * Transactional Practice Experience * Knowledge Management ATS Optimization KeywordsHard Skills * Collaboration * Technical Translation * Training ...

New

Goldman Edwards, Inc.

Be Seen First

AI Foundry Engineer (Remote)

Washington, DC · Remote

... prompt engineering § Knowledge about emerging standards for AI agent ecosystem § SME / Power user ... We provide world-class talent, proven management, and technical processes to manage the most ...

Intezra, Inc.

Cloud Migration Architect

Columbia, MD · On-site

$181K - $220K/yr

As a technical lead, you'll guide an engineering team in using large language models (LLMs) to generate and manage Terraform configurations. A primary focus is prompt engineering and identifying the ...

Eccalon LLC

Full Stack Developer

Hanover, MD · On-site

Design and manage relational and NoSQL data models across PostgreSQL, DynamoDB, and MongoDB; optimize queries and data access patterns for performance and cost. * Apply structured prompt engineering ...

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All JobsPrompt Engineering JobsManager Prompt Engineering JobsManager Prompt Engineering Jobs in Washington, DC

Manager Prompt Engineering information

See Washington, DC salary details

$52.7K

$166.3K

$197.1K

How much do manager prompt engineering jobs pay per year?

As of Sep 8, 2026, the average yearly pay for manager prompt engineering in Washington, DC is $166,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,900.00 and $195,900.00 per year, depending on experience, location, and employer.

What is a manager of prompt engineering?

A Manager of Prompt Engineering is a professional who leads teams focused on designing, developing, and optimizing prompts for artificial intelligence models, particularly large language models (LLMs) like ChatGPT. They oversee the creation of effective prompts to ensure AI systems provide accurate, relevant, and safe responses. This role involves collaborating with data scientists, engineers, and product managers, as well as setting best practices for prompt creation and evaluation. Additionally, they may be responsible for training team members and implementing strategies to improve prompt performance over time.

What are the key skills and qualifications needed to thrive as a manager of prompt engineering?

To thrive as a Manager of Prompt Engineering, you need expertise in natural language processing, AI model deployment, and prompt design, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), prompt engineering platforms, and version control systems is expected, along with experience managing technical teams. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These abilities are crucial for ensuring effective AI solutions, driving team productivity, and aligning prompt engineering initiatives with organizational goals.

How does a manager of prompt engineering typically collaborate with cross-functional teams to optimize AI outputs?

As a Manager of Prompt Engineering, you will frequently collaborate with data scientists, software engineers, product managers, and UX designers to refine and optimize prompt strategies for AI models. This involves translating business requirements into effective prompt templates, conducting prompt experiments, and communicating findings to stakeholders. Regular cross-functional meetings and feedback sessions are common, ensuring that the AI outputs align with both technical capabilities and user needs. Building strong relationships across teams is essential for successfully iterating on prompt designs and deploying scalable solutions.

Are manager prompt engineers still in demand?

Manager prompt engineers are increasingly in demand as organizations seek professionals who can optimize AI interactions and develop effective prompts. The role requires skills in AI, natural language processing, and team management, and is expected to grow with the expansion of AI applications across industries.

Is manager prompt engineering a good career?

Manager prompt engineering is a growing role focused on designing and optimizing prompts for AI systems, requiring skills in AI, machine learning, and communication. It offers opportunities in technology companies and startups, often involving collaboration with data scientists and engineers. The career can be rewarding with increasing demand as AI adoption expands across industries.

What are the most commonly searched types of Prompt Engineering jobs in Washington, DC?

The most popular types of Prompt Engineering jobs in Washington, DC are:

What are popular job titles related to Manager Prompt Engineering jobs in Washington, DC?

For Manager Prompt Engineering jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Manager Prompt Engineering jobs in Washington, DC look for?

The top searched job categories for Manager Prompt Engineering jobs in Washington, DC are:

Manager Prompt Engineering jobs near you

AI Engineer-Washington, District of Columbia

Fairfax, VA • Hybrid

BOOZ, ALLEN & HAMILTON, INC.
IT Services • 10K+ employees
Learn more about BOOZ, ALLEN & HAMILTON, INC.external

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 17 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

Job description

AI Engineer
The Opportunity:
As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI infrastructure and tooling to build scalable, observable, and efficient services. You'll work across the full AI application lifecycle from enterprise data ingestion and retrieval to prompt engineering, evaluation, deployment, observability, and production operations building secure, scalable AI solutions for mission-critical federal environments.
You Have:
  • 3+ years of experience building production systems, including AI / ML applications
  • Experience building LLM systems using RAG frameworks such as LangChain and LlamaIndex, or custom pipelines and vector stores with Pinecone, Weaviate, FAISS, or OpenSearch Vector Search
  • Experience designing embedding pipelines, including document ingestion, chunking strategies, indexing, met adata filtering, retrieval optimization, and hybrid search, and designing APIs and services using FastAPI, Flask, or Node.js
  • Experience with cloud-native architectures, including AWS services such as Bedrock, SageMaker, EKS or ECS, S3, IAM, Lambda, CloudWatch, and Secrets Manager, and agent frameworks and orchestration patterns such as LangGraph, tool calling, and function calling APIs
  • Experience implementing observability, including logging and tracing with OpenTele met ry, Datadog, or CloudWatch, and met rics pipelines tracking latency, throughput, token usage, cache hit rate, and error rates
  • Experience optimizing performance using caching layers such as Redis, parallelization or async workflows, and chunking and retrieval tuning, and designing automated evaluation pipelines using benchmark datasets, LLM-as-a-judge techniques, regression testing, and human evaluation workflows
  • Experience supporting production AI services, including deployment, monitoring, incident response, debugging, and performance tuning, and managing prompt templates, prompt versioning, model configurations, and structured outputs across development and production environments
  • Knowledge of AI security concepts, including prompt injection, jailbreak resistance, data leakage prevention, guardrails, secure prompt design, and responsible AI practices
  • Ability to obtain a TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience supporting DoD clients or other federal mission environments
  • Experience with high-performance inference systems such as vLLM, Ray Serve, or Triton Inference Server
  • Experience with semantic caching and embedding reuse strategies
  • Experience with guardrail frameworks such as Rebuff, Guardrails.ai, or custom filtering systems
  • Experience integrating AI applications with enterprise data platforms and knowledge repositories such as Databricks, Snowflake, OpenSearch, PostgreSQL, SharePoint, Confluence, or S3-based document stores
  • Experience deploying AI workloads into AWS GovCloud, IL4 or IL5 environments, or other secure cloud environments
  • Experience with event-driven architectures and messaging technologies such as Amazon SQS, Kafka, RabbitMQ, or Amazon EventBridge
  • Experience with Model Context Protocol ( MCP ) or modern AI agent interoperability standards

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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