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Manager Prompt Engineering Jobs in Washington, DC

Booz Allen Hamilton

AI Engineer

Washington, DC · Hybrid

$99K - $225K/yr

... prompt engineering, evaluation, deployment, observability, and production operations building ... Manager, and agent frameworks and orchestration patterns such as LangGraph, tool calling, and ...

Booz Allen Hamilton

AI Engineer

Mclean, VA · Hybrid

$99K - $225K/yr

... prompt engineering, evaluation, deployment, observability, and production operations building ... Manager, and agent frameworks and orchestration patterns such as LangGraph, tool calling, and ...

Geo Owl

AI Process Integration Engineer

Mclean, VA · On-site

$100 - $125/hr

Proficiency in AI/ML tool configuration, prompt engineering, workflow modeling (BPMN), and data pipeline management; experience with IC‑approved analytic platforms and multi‑classification ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

... prompt engineering, evaluation, deployment, observability, and production operations building ... Manager, and agent frameworks and orchestration patterns such as LangGraph, tool calling, and ...

BOOZ, ALLEN & HAMILTON, INC.

AI Engineer

Washington, DC · Hybrid

$99K - $225K/yr

... prompt engineering, evaluation, deployment, observability, and production operations building ... Manager, and agent frameworks and orchestration patterns such as LangGraph, tool calling, and ...

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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

Python Developer with Agentic AI Platform

eSolutionsFirst, LLC

Vienna, VA • On-site

$50.50 - $69.50/hr

Other

Posted 14 days ago

Job description

Role Overview

We are seeking a highly experienced Senior Software Engineer to design, build, and scale our next-generation Agentic AI Platform. The role focuses on LLMs, RAG, Multi-Agent Systems, and MCP, with strong software engineering expertise in Golang, Python and Java.

Key Responsibilities

  • Design, develop, test, deploy, and maintain scalable AI platform components using Golang, Python, and Java/Spring Boot.
  • Build LLM-powered agents supporting reasoning, planning, tool use, decision-making, and multi-step workflows.
  • Develop RAG pipelines, prompt engineering, function/tool calling, context management, and agent memory.
  • Design multi-agent architectures and integrate MCP with enterprise tools and systems.
  • Build scalable microservices, REST APIs, and distributed systems.
  • Integrate LLMs, APIs, internal platforms, and third-party services.
  • Optimize solutions for performance, reliability, latency, cost, and quality.
  • Participate in architecture, development, testing, deployment, monitoring, and production support.

 Required Qualifications

  • Bachelor''s/Master''s degree in Computer Science, Engineering, or related field.
  • 7+ years of software engineering experience.
  • Strong hands-on expertise in Golang and Python; experience with Java/Spring Boot is preferred.
  • Strong experience building scalable, production-grade applications, microservices, APIs, and distributed systems.
  • Solid understanding of algorithms, data structures, OOP, and software design principles.
  • Hands-on experience with AI/ML, LLMs, Generative AI, prompt engineering, and tool/function calling.
  • Experience with RAG, embeddings, vector databases, and semantic search.
  • Knowledge of Agentic AI, multi-agent systems, agent orchestration, and MCP.
  • Experience with SQL/NoSQL databases and data pipelines.
  • Experience with AWS
  • Strong understanding of CI/CD, testing, version control, and production engineering.
  • Excellent problem-solving, communication, and collaboration skills.

Apply