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Entry Level Generative Ai Prompt Engineer Jobs in Seattle, WA

DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to ... Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI ...

DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to ... Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI ...

The Applied AI Engineer will be responsible for building knowledge extraction, mapping, and ... Prompt and orchestration frameworks that connect multiple models, tools, and data sources into end ...

Showing results 21-40

Entry Level Generative Ai Prompt Engineer information

See Seattle, WA salary details

$34.1K

$78.9K

$134.3K

How much do entry level generative ai prompt engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for entry level generative ai prompt engineer in Seattle, WA is $78,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $89,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry level generative AI prompt engineers, and how can they overcome them?

Entry-level generative AI prompt engineers often encounter challenges such as crafting effective prompts that yield reliable outputs, staying current with rapidly evolving AI models, and interpreting ambiguous model responses. Overcoming these challenges requires continuous learning, experimentation, and collaboration with more experienced engineers or data scientists. Participating in team discussions, reviewing prompt libraries, and regularly testing prompts with different models can help newcomers build their expertise and confidence in the role.

What is an entry level generative AI prompt engineer?

Entry Level Generative AI Prompt Engineers are professionals who design, test, and refine prompts to interact with generative AI models, such as those used in chatbots or content creation tools. Their role involves understanding how AI responds to different inputs, troubleshooting issues, and optimizing prompts for accuracy and relevance. They typically collaborate with developers, data scientists, and content teams to improve AI outputs for various applications. This entry-level position is ideal for those with basic programming knowledge, strong communication skills, and an interest in artificial intelligence.

What are the key skills and qualifications needed to thrive as an entry level generative AI prompt engineer?

To thrive as an Entry Level Generative AI Prompt Engineer, you need a foundational understanding of natural language processing, basic programming skills (often in Python), and familiarity with AI concepts, typically supported by a relevant degree or coursework. Experience with AI platforms like OpenAI, Hugging Face, or Google Cloud AI, as well as prompt design tools, is commonly required. Creativity, analytical thinking, and strong written communication help you craft effective prompts and collaborate with cross-functional teams. These skills are crucial for developing high-quality AI outputs and ensuring solutions align with user needs and project goals.

What is the difference between Entry Level Generative Ai Prompt Engineer vs Entry Level Data Scientist?

AspectEntry Level Generative Ai Prompt EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related; basic understanding of AI modelsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentAI labs, tech companies, startupsData analysis teams, research institutions, tech firms
Industry UsageAI development, NLP, chatbot creationData analysis, predictive modeling, research

While both roles require a foundational understanding of technology and data, Entry Level Generative Ai Prompt Engineers focus on designing prompts for AI models, especially in NLP, whereas Entry Level Data Scientists analyze data to derive insights. The roles overlap in technical skills but differ in application and focus areas.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in Seattle, WA?

The most popular types of Generative Ai Prompt Engineer jobs in Seattle, WA are:

What are popular job titles related to Entry Level Generative Ai Prompt Engineer jobs in Seattle, WA?

For Entry Level Generative Ai Prompt Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Generative Ai Prompt Engineer jobs in Seattle, WA look for?

The top searched job categories for Entry Level Generative Ai Prompt Engineer jobs in Seattle, WA are:

Infographic showing various Entry Level Generative Ai Prompt Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution, with an average salary of $78,936 per year, or $38 per hour.

AI Design Facilitator and Forward-Deployed Engineer II

Deloitte

Seattle, WA

$146K - $176K/yr

Full-time

Posted 23 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

We are seeking a highly skilled and passionate individual to join our team as an AI Design Facilitator and Forward-Deployed Engineer II - Consultant. This role involves teaching technical AI skills through a design lens, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on August 31, 2026

Work you'll do

In this role, you will be responsible for:

  • Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Bringing a design-forward angle to the program: introducing user research, user testing, and design workshops into how participants approach their problems, so the work isn't only about shipping code but about building the right thing for a real user.
  • Helping shape the FDE approach: working with the team on where and how human-centered design principles fit into the FDE method, from how we frame a problem to how we validate a prototype.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • A real design background: user research, user testing, human-centered design, or a closely related discipline, applied to actual project work.
  • Comfort running workshops and facilitating groups, and translating technical material into exercises a mixed audience can follow.
  • 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
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required

  • Bachelor's degree.
  • 1+ years experience in user research, user experience design, human-centered design, or a closely related design discipline.
  • 1+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with Design and GenAI Software such as Figma, Abobe Creative Suite, Claude Code, Codex
  • Knowledge of Design best practices and methodologies.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.
  • Experience using AI systems in the design process (e.g., AI-assisted research, prototyping, or design workflows).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

We are seeking a highly skilled and passionate individual to join our team as an AI Design Facilitator and Forward-Deployed Engineer II - Consultant. This role involves teaching technical AI skills through a design lens, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on August 31, 2026

Work you'll do

In this role, you will be responsible for:

  • Shaping and lead early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Bringing a design-forward angle to the program: introducing user research, user testing, and design workshops into how participants approach their problems, so the work isn't only about shipping code but about building the right thing for a real user.
  • Helping shape the FDE approach: working with the team on where and how human-centered design principles fit into the FDE method, from how we frame a problem to how we validate a prototype.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • A real design background: user research, user testing, human-centered design, or a closely related discipline, applied to actual project work.
  • Comfort running workshops and facilitating groups, and translating technical material into exercises a mixed audience can follow.
  • 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
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required

  • Bachelor's degree.
  • 1+ years experience in user research, user experience design, human-centered design, or a closely related design discipline.
  • 1+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with Design and GenAI Software such as Figma, Abobe Creative Suite, Claude Code, Codex
  • Knowledge of Design best practices and methodologies.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.
  • Experience using AI systems in the design process (e.g., AI-assisted research, prototyping, or design workflows).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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