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Google Prompt Engineer Jobs (NOW HIRING)

Google

Partner Solutions Engineer

Irvine, CA · On-site

... Google's advertising platforms. • Ensure the prompt and proper resolution of any technical ... Required : • Bachelor's degree in engineering, computer science, a related field, or equivalent ...

Google

Partner Solutions Engineer

Sunnyvale, CA · On-site

... Google's advertising platforms. • Ensure the prompt and proper resolution of any technical ... Required : • Bachelor's degree in engineering, computer science, a related field, or equivalent ...

Stefanini

Machine Learning Engineer

Dearborn, MI

... prompt engineering, and coding for tool building and analysis. Design and develop innovative ML ... For example, designing and implementing a cloud-native application architecture using GKE (Google ...

Lorvenk Technologies LLC

AI Engineer

Boston, MA

Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and ... OpenAI / Anthropic / Google, Open-source LLMs * Hugging Face * LangChain, LlamaIndex, or similar ...

Google

Partner Solutions Engineer

Sunnyvale, CA · On-site

... Google's advertising platforms. * Ensure the prompt and proper resolution of any technical ... management, engineering, and key stakeholders. * Perform implementation reviews, and analyze ...

New

Accenture

Google Data Specialist

Mountain View, CA · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

New

Accenture

Google Data Specialist

Pittsburgh, PA · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

New

Accenture

Google Data Specialist

Bentonville, AR · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

New

Accenture

Google Data Specialist

Seattle, WA · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

New

Accenture

Google Data Specialist

Denver, CO · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

New

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Google Prompt Engineer information

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How much do google prompt engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for google prompt engineer in the United States is $51.35, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $58.65 per hour, depending on experience, location, and employer.

How does a Google Prompt Engineer typically collaborate with product and engineering teams to refine AI-driven user interactions?

As a Google Prompt Engineer, a significant part of your role involves working closely with product managers, UX designers, and software engineers to optimize how AI systems interact with users. You'll participate in cross-functional meetings to understand user needs, test prompt effectiveness, and iterate on conversational flows. Collaboration is key, as you'll frequently review data and feedback together, making adjustments to prompts to improve clarity, accuracy, and user satisfaction. This teamwork ensures that AI-driven features align with both technical capabilities and user expectations.

What are the key skills and qualifications needed to thrive as a Google Prompt Engineer, and why are they important?

To thrive as a Google Prompt Engineer, you need a strong background in computer science, natural language processing (NLP), and prompt engineering, typically supported by a relevant degree or equivalent experience. Familiarity with AI/ML tools like TensorFlow, Python programming, and large language model APIs is essential, along with experience using prompt design platforms. Creativity, analytical thinking, and effective collaboration skills help distinguish top performers in this field. These skills ensure you can design, test, and optimize prompts that enhance AI model outputs, driving innovation and reliable results in AI applications.

Are prompt engineers still in demand?

Prompt engineers, who design and optimize prompts for AI language models, are increasingly in demand as AI adoption grows across industries. Their skills in understanding AI behavior, natural language processing, and prompt engineering tools make them valuable for developing effective AI applications and improving model performance.

What is a Google Prompt Engineer?

A Google Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models and AI systems developed or used by Google. Their role involves crafting effective instructions and queries to elicit accurate, context-aware, and useful responses from AI models. They often collaborate with researchers, developers, and product teams to improve user interactions with AI-powered tools and ensure the technology meets specific business or user needs. Prompt Engineers also analyze prompt performance, troubleshoot issues, and implement improvements for better results.

Which 3 jobs will survive AI?

For a Google Prompt Engineer, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Roles such as software developers, data scientists, and user experience designers involve skills that are difficult for AI to fully replicate. Continuous learning and adapting to new tools like machine learning frameworks can help maintain job relevance.

Are prompt engineers well paid?

Prompt engineers, especially those working with AI and machine learning models, tend to have competitive salaries due to the specialized skills required in designing effective prompts and understanding AI behavior. Compensation varies based on experience, location, and industry, but generally aligns with other roles in AI development and data science, often including benefits and opportunities for advancement.

What engineers make 500,000?

Senior engineers in high-demand fields such as software, data engineering, and specialized technical roles can earn $500,000 or more annually, especially with experience, advanced skills, and in competitive industries. These roles often require expertise in programming, system design, or leadership, and may include bonuses or stock options that contribute to total compensation.

What is the difference between Google Prompt Engineer vs Chatbot Developer?

AspectGoogle Prompt EngineerChatbot Developer
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and prompt engineeringBachelor's in CS, Software Engineering, or related; experience with chatbot platforms and scripting
Work EnvironmentTech companies, AI research labs, product teams focusing on language modelsCustomer service, tech firms, startups developing conversational agents
Industry UsagePrimarily in AI and NLP product developmentAcross customer support, marketing, and entertainment sectors
Common Search/ComparisonYesYes

Google Prompt Engineers focus on designing and optimizing prompts for AI language models like Google's PaLM or Bard, emphasizing prompt structure and effectiveness. Chatbot Developers build and maintain conversational agents, integrating AI models into user-facing applications. While both roles involve NLP and AI, Prompt Engineers specialize in prompt crafting, whereas Chatbot Developers focus on chatbot functionality and user experience.

Infographic showing various Google Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $106,799 per year, or $51.3 per hour.

Senior Staff Engineering Analyst Manager, Gemini, NanoBanana, Veo

Google

Sunnyvale, CA • On-site

Full-time

Posted 10 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies

Job description

Job Summary:
Google is seeking a Senior Staff Engineering Analyst Manager to apply advancements in AI and collaborate with experts across various teams. The role involves leading a team focused on model safety, driving cross-functional alignment, and applying data science methodologies to enhance security.
Responsibilities:
• Lead and scale a team of engineering analysts focused on Introspection and post-training; develop the next wave of leaders through technical mentorship and guidance.
• Pioneer the use of technology (introspection, supervised fine tuning, direct preference optimization, develop encoder systems, etc.) and design safety mitigations architectures.
• Drive cross-functional alignment across DeepMind and Trust and Safety stakeholders, and lead executive communications, design, and metrics reviews.
• Direct the strategy for foundational model launches (e.g., Gemini, GemPix, Veo, etc.).
• Apply statistical and data science methodologies to audit model safety and uncover vulnerabilities, ensuring continuous security enhancement through insights.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience.
• 8 years of experience in data science or machine learning.
• 8 years of experience in data analysis using SQL and scripting languages (e.g., Python).
• 5 years of experience in technical leadership or people management.
Preferred:
• Master's degree in a quantitative discipline.
• Experience applying machine learning/large language models (LLMs) in industry settings.
• Experience with prompt engineering and fine-tuning LLMs.
• Excellent written, verbal, and presentation skills to effectively communicate with a variety of executive level stakeholders.
• Excellent problem-solving and critical thinking skills with an interest in new technology in an ever-changing environment.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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