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Director Ai Prompt Engineer Jobs in Bothell, WA (NOW HIRING)

Taxbit

Agentic AI Engineer

Seattle, WA · Hybrid

$130K - $170K/yr

Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring * Write well-designed, well-tested, and maintainable code; participate ...

Funko

Sr. AI Engineer

Everett, WA

$115K - $158K/yr

Build AI-powered applications using Large Language Models (LLMs), AI agents, prompt engineering, and modern orchestration frameworks. * Design and implement intelligent workflows, agentic ...

Funko

Sr. AI Engineer

Everett, WA

$115K - $158K/yr

Build AI-powered applications using Large Language Models (LLMs), AI agents, prompt engineering, and modern orchestration frameworks. * Design and implement intelligent workflows, agentic ...

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Showing results 21-40

All JobsAi Prompt Engineer JobsDirector Ai Prompt Engineer JobsDirector Ai Prompt Engineer Jobs in Bothell, WA

Director Ai Prompt Engineer information

See Bothell, WA salary details

$81.6K

$217.7K

$283.9K

How much do director ai prompt engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for director ai prompt engineer in Bothell, WA is $217,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,200.00 and $282,800.00 per year, depending on experience, location, and employer.

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 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 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 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.

What are popular job titles related to Director Ai Prompt Engineer jobs in Bothell, WA? For Director Ai Prompt Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Director Ai Prompt Engineer jobs in Bothell, WA look for? The top searched job categories for Director Ai Prompt Engineer jobs in Bothell, WA are:
Director Ai Prompt Engineer jobs near you

Data Scientist w Generative AI (with AI , ML, and LLM - not ML Ops)

Kanak Elite Services Inc

Seattle, WA • On-site

Contractor

Re-posted 9 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Scientist with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Data Scientist with Generative AI (with AI , ML, and LLM – not ML Ops)

Location          : Seattle, WA Onsite (as well as final in-person interview – no exceptions) NEED LOCAL HERE

Duration         : Twelve months contract, will extend

Exp required   : 13+ Years

Interview Will be:

  1. One tech round (including 45–60-minute GenAI coding challenge) - teams
  2. One round with the account manager – team – 5-10 mins – culture fit
  3. One round with client – teams – culture fit
  4. Final meet and greet (not technically an interview) w the buyer – onsite, no exceptions

Description

    1. Build and deploy Generative AI solutions using Amazon Bedrock, SageMaker, and other AWS AI/ML services.
    2. Evaluate and integrate foundation models (Claude, Titan, Mistral, LLaMA, etc.) available in Bedrock for enterprise use cases (chatbots, summarization, RAG, etc.).
    3. Fine-tune and prompt engineer large language models (LLMs) for domain-specific needs.
    4. Work on GenAI pipelines: data preprocessing, prompt tuning, retrieval augmentation (RAG), and model evaluation.
    5. Optimize cost and performance of GenAI workloads in the AWS ecosystem.
    6. Collaborate with product and data teams to design AI-driven applications.