ZipRecruiter

Log In

1

Senior Generative Ai Prompt Engineer Jobs in California

MCI Careers

Senior AI Prompt Engineer

Los Angeles, CA · On-site

$130 - $195/hr

We are seeking a Senior AI Prompt Engineer to design, optimize, and manage prompts that maximize ... Stay current with developments in Generative AI and LLMs. * Evaluate new prompting techniques and ...

New

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer ... test, and integrate AI/ML algorithms as part of product releases and evolve data quality ...

Avathon

Senior AI Engineer

Pleasanton, CA · On-site

$116K - $159K/yr

Responsibilities : • Design, develop, and deploy machine learning and Generative AI solutions to ... prompt engineering, model alignment, evaluation, and performance benchmarking for GenAI ...

next page

Showing results 1-20

All JobsGenerative Ai Prompt Engineer JobsSenior Generative Ai Prompt Engineer JobsSenior Generative Ai Prompt Engineer Jobs in California

Senior Generative Ai Prompt Engineer information

What is a senior generative AI prompt engineer?

A Senior Generative AI Prompt Engineer is an experienced professional who specializes in designing, optimizing, and managing prompts for AI models, such as large language models (LLMs) like GPT-4. Their role involves understanding how AI responds to different instructions, creating effective prompts to achieve desired outputs, and collaborating with teams to integrate AI-generated content into products or workflows. They often work closely with data scientists, software engineers, and product managers to ensure the AI delivers accurate and valuable results. Additionally, they may be responsible for training others on prompt engineering best practices and staying updated on the latest advancements in generative AI.

What are the key skills and qualifications needed to thrive as a senior generative AI prompt engineer?

To thrive as a Senior Generative AI Prompt Engineer, you need expertise in natural language processing, machine learning, and prompt engineering, typically supported by an advanced degree in computer science or a related field. Proficiency with AI frameworks like TensorFlow or PyTorch, experience with large language models (e.g., GPT, Llama), and familiarity with cloud platforms are essential. Strong problem-solving abilities, creativity, and effective communication skills help in designing, iterating, and collaborating on high-quality AI-driven solutions. These skills ensure the development of robust, innovative models and effective deployment of generative AI solutions to meet business objectives.

What are some common challenges faced by senior generative AI prompt engineers, and how can they be addressed?

Senior Generative AI Prompt Engineers often encounter challenges such as designing prompts that consistently yield high-quality outputs and managing model biases. Collaborating closely with data scientists, product managers, and other engineers is essential to iterate on prompt strategies and evaluate results. Staying updated with rapid advancements in generative AI models and understanding the nuances of prompt tuning are also key aspects of the role. Regularly reviewing model outputs and leveraging feedback from cross-functional teams can help address these challenges and drive continuous improvement.

What is the difference between Senior Generative Ai Prompt Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai Prompt EngineerMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with NLP and prompt designBachelor's or higher in CS, Data Science, or related fields; expertise in algorithms and model development
Work EnvironmentFocus on prompt crafting, AI interaction, and fine-tuning generative modelsDeveloping, training, and deploying machine learning models across various applications
Industry UsagePrimarily in AI product teams, content generation, and conversational AIAcross tech, finance, healthcare, and more for predictive analytics and automation

While both roles involve AI and machine learning, the Senior Generative Ai Prompt Engineer specializes in designing prompts for generative models, whereas the Machine Learning Engineer develops and optimizes machine learning algorithms for broader applications.

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

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

What are popular job titles related to Senior Generative Ai Prompt Engineer jobs in California?

For Senior Generative Ai Prompt Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Generative Ai Prompt Engineer jobs in California look for?

The top searched job categories for Senior Generative Ai Prompt Engineer jobs in California are:

What cities in California are hiring for Senior Generative Ai Prompt Engineer jobs?

Cities in California with the most Senior Generative Ai Prompt Engineer job openings:

Senior Generative Ai Prompt Engineer jobs near you
Infographic showing various Senior Generative Ai Prompt Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior AI Architect & Lead Prompt Engineer

CLOUDSUFI

Sunnyvale, CA • On-site

Other

Posted 2 days ago

New

Job description

Job Title: Senior AI Architect & Lead Prompt Engineer

Location: Sunnyvale, CA

Work Model: Onsite


Role Overview

We are looking for a Senior AI Architect & Lead Prompt Engineer to design and deliver production-grade GenAI, LLM, and agentic solutions for a large-scale telecom environment.

Key Responsibilities

  • Architect and deploy LLM and multi-agent solutions on GCP.
  • Build advanced prompt engineering, RAG, and AI orchestration frameworks.
  • Develop intelligent workflows using Gemini, Vertex AI, LangChain/LlamaIndex, and Dialogflow.
  • Integrate AI solutions with ServiceNow, Salesforce, Netcracker, and SAP.
  • Design scalable cloud-native solutions using GKE, Docker, Terraform, Cloud SQL, and PostgreSQL.
  • Lead AI engineering initiatives and mentor technical teams.

Required Skills

  • 10+ years in AI/ML, NLP, software engineering, or related fields.
  • Strong hands-on experience with Gemini, Vertex AI, Python, and GCP.
  • Expertise in Generative AI, Agentic AI, Prompt Engineering, RAG, and LLM architecture.
  • Experience with LangChain/LlamaIndex and enterprise integrations.
  • Strong understanding of ServiceNow and Salesforce.
  • Telecom or large-enterprise experience preferred.

Core Technologies

Gemini | Vertex AI | LangChain | LlamaIndex | RAG | Python | GCP | GKE | Terraform | Docker | Salesforce | ServiceNow

Core Skills: Generative AI • Agentic AI • AI Engineering • Prompt Engineering • LLM Architecture • RAG • Machine Learning

Apply