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Director Ai Prompt Engineer Jobs in Virginia (NOW HIRING)

eSolutionsFirst, LLC

AI Engineer

Mclean, VA · On-site

Develop RAG pipelines, prompt engineering, function/tool calling, context management, and agent ... Hands-on experience with AI/ML, LLMs, Generative AI, prompt engineering, and tool/function calling.

New

CarMax, Inc.

Director, AI/ML Engineering

Richmond, VA · On-site

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to lead and scale our artificial intelligence, and ML capabilities. The AI/ML Engineering team is the ...

Carmax

Director, AI/ML Engineering

Richmond, VA

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to lead and scale our artificial intelligence, and ML capabilities. The AI/ML Engineering team is the ...

Carmax

Director, AI/ML Engineering

Richmond, VA · On-site

$181K - $290K/yr

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to lead and scale our artificial intelligence, and ML capabilities. The AI/ML Engineering team is the ...

Capital One

Sr Director, AI Engineering

Richmond, VA · On-site

Sr Director, AI Engineering Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using ...

Capital One

Sr Director, AI Engineering

Mclean, VA · On-site

Sr Director, AI Engineering Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using ...

Capital One

Sr Director, AI Engineering

Mclean, VA

Sr Director, AI Engineering Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using ...

Capital One

Sr Director, AI Engineering

Richmond, VA · On-site

Sr Director, AI Engineering Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using ...

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Director Ai Prompt Engineer information

What is a Director AI Prompt Engineer?

A Director AI Prompt Engineer is a senior leadership role responsible for overseeing teams that design, develop, and optimize prompts for AI language models. This position combines deep understanding of artificial intelligence, natural language processing, and strategic management to ensure that AI systems generate high-quality, accurate, and safe outputs. The director sets the vision for prompt engineering, collaborates with cross-functional teams, and ensures alignment with organizational goals. Their work is crucial for advancing AI capabilities and maintaining ethical standards in AI interactions.

What are the key skills and qualifications needed to thrive as a Director AI Prompt Engineer?

To thrive as a Director AI Prompt Engineer, you need deep expertise in AI/ML technologies, prompt engineering, natural language processing, and leadership experience, often backed by an advanced degree in a technical field. Familiarity with AI platforms (like OpenAI, Google Cloud AI), programming languages (such as Python), and workflow management tools is crucial, as are certifications in machine learning or data science. Outstanding communication, strategic thinking, and team leadership are essential soft skills to guide multidisciplinary teams and align AI solutions with business goals. These qualifications ensure the effective design, deployment, and management of AI systems that drive innovation and organizational success.

What are the primary challenges faced by a Director AI Prompt Engineer when leading prompt engineering teams?

A Director AI Prompt Engineer often navigates challenges such as aligning prompt engineering strategies with organizational goals, ensuring prompt quality and consistency across diverse projects, and keeping the team updated with advances in AI language models. Additionally, effective collaboration with data scientists, product managers, and engineering teams is crucial for integrating prompt solutions into products. Balancing technical leadership with mentoring and professional development for prompt engineers is also a key responsibility in this role.

What is the difference between Director Ai Prompt Engineer vs AI Content Strategist?

AspectDirector Ai Prompt EngineerAI Content Strategist
Required CredentialsExperience in AI, machine learning, prompt engineering, and related certificationsBackground in marketing, content creation, SEO, and digital strategy
Work EnvironmentTech companies, AI labs, or digital agencies focusing on AI developmentMarketing agencies, media firms, or corporate marketing departments
Employer & Industry UsagePrimarily in AI and tech industriesAcross marketing, advertising, and media sectors
Search & Comparison IntentUnderstanding roles in AI prompt engineeringComparing AI-driven content planning roles

The main difference is that a Director Ai Prompt Engineer focuses on designing and optimizing AI prompts for machine learning models, often requiring technical expertise in AI and programming. An AI Content Strategist concentrates on planning and managing content strategies using AI tools to enhance marketing efforts. Both roles involve AI but serve different functions within the industry.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, machine learning, and familiarity with AI tools, making it a growing field with strong job prospects.

What are the most commonly searched types of Ai Prompt Engineer jobs in Virginia?

The most popular types of Ai Prompt Engineer jobs in Virginia are:

What are popular job titles related to Director Ai Prompt Engineer jobs in Virginia?

For Director Ai Prompt Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Director Ai Prompt Engineer jobs in Virginia look for?

The top searched job categories for Director Ai Prompt Engineer jobs in Virginia are:

What cities in Virginia are hiring for Director Ai Prompt Engineer jobs?

Cities in Virginia with the most Director Ai Prompt Engineer job openings:

Director Ai Prompt Engineer jobs near you

AI Engineer

eSolutionsFirst, LLC

Mclean, VA • On-site

Other

Posted 2 days ago

New

Job description

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