ZipRecruiter

Log In

1

Director Prompt Engineer Jobs in California (NOW HIRING)

Meta

Art Director

Menlo Park, CA

$98K/yr

Meta is seeking an Art Director to join our in-house creative team, developing compelling brand and ... Demonstrated use of AI-assisted creative tools (e.g., generative image tools, prompt engineering ...

Meta

Art Director

Los Angeles, CA

$98K/yr

Meta is seeking an Art Director to join our in-house creative team, developing compelling brand and ... Demonstrated use of AI-assisted creative tools (e.g., generative image tools, prompt engineering ...

Exelixis

Associate Engineer - AI and Agentic

Alameda, CA · On-site

$103K - $145K/yr

Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts through coursework, projects, or self-directed learning. * Ability to learn and apply ...

Exelixis

AI and Agentic Engineer Associate

Alameda, CA · On-site

$103K - $145K/yr

Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts through coursework, projects, or self-directed learning. * Ability to learn and apply ...

Exelixis

Associate Engineer - AI and Agentic

Alameda, CA · On-site

$103K - $145K/yr

Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts through coursework, projects, or self-directed learning. * Ability to learn and apply ...

Exelixis

Associate Engineer - AI and Agentic

Alameda, CA · On-site

$103K - $145K/yr

Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts through coursework, projects, or self-directed learning. * Ability to learn and apply ...

Exelixis

AI and Agentic Engineer Associate

Alameda, CA · On-site

$103K - $145K/yr

Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts through coursework, projects, or self-directed learning. * Ability to learn and apply ...

Exelixis

AI and Agentic Engineer Associate

Alameda, CA

$103K - $145K/yr

Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts through coursework, projects, or self-directed learning. * Ability to learn and apply ...

previous page

Showing results 41-60

All JobsPrompt Engineer JobsDirector Prompt Engineer JobsDirector Prompt Engineer Jobs in California

Director Prompt Engineer information

What is a director prompt engineer?

Director Prompt Engineers are professionals who oversee and lead teams in designing, developing, and refining prompts for artificial intelligence (AI) models, such as large language models. They are responsible for setting prompt engineering strategies, ensuring prompt quality, and collaborating with cross-functional teams to align AI outputs with business goals. Their role often includes managing prompt engineers, establishing best practices, and driving innovation in how AI systems interpret and respond to human input. Director Prompt Engineers play a critical role in shaping the effectiveness and accuracy of AI applications across various industries.

What skills and qualifications are needed to thrive as a director prompt engineer?

To thrive as a Director Prompt Engineer, you need deep expertise in natural language processing, AI model development, and prompt engineering, supported by an advanced degree in computer science or a related field. Proficiency with machine learning frameworks, prompt optimization tools, and familiarity with platforms like OpenAI API is essential, along with experience in managing technical teams. Exceptional communication, strategic thinking, and leadership skills help drive innovation and effectively guide cross-functional teams. These skills ensure the delivery of high-performing AI solutions and foster a collaborative environment for continuous improvement in prompt engineering.

How does a director prompt engineer collaborate with cross-functional teams to implement AI-driven solutions?

A Director Prompt Engineer regularly works with data scientists, product managers, software engineers, and UX designers to ensure that AI prompts align with business objectives and user needs. This collaboration often involves leading brainstorming sessions, reviewing prompt performance analytics, and iterating based on feedback from both technical and non-technical stakeholders. By maintaining clear communication and a shared vision across teams, the Director ensures that prompt engineering strategies are seamlessly integrated into product development cycles. This role also mentors team members and establishes best practices, fostering a culture of continuous learning and innovation.

What is the difference between Director Prompt Engineer vs Prompt Engineer?

AspectDirector Prompt EngineerPrompt Engineer
ResponsibilitiesOversees AI prompt strategies, manages teams, and aligns AI outputs with business goalsDesigns and develops prompts to optimize AI model responses
Required SkillsAdvanced AI knowledge, leadership, project managementStrong prompt design, AI understanding, technical writing
Work EnvironmentStrategic, managerial, cross-functional teamsTechnical, focused on prompt creation and testing
Industry UsageUsed in organizations integrating AI at a strategic levelCommon in AI development, research, and product teams

The main difference is that a Director Prompt Engineer leads AI prompt initiatives and manages teams, while a Prompt Engineer focuses on designing effective prompts. The director role involves strategic oversight, whereas the prompt engineer role is more technical and hands-on.

Are director prompt engineers still in demand?

Director prompt engineers are in growing demand as organizations increasingly rely on AI and natural language processing technologies. They typically require expertise in AI models, prompt design, and team leadership, with demand driven by advancements in AI applications across industries.

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

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

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

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

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

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

What cities in California are hiring for Director Prompt Engineer jobs?

Cities in California with the most Director Prompt Engineer job openings:

Director Prompt Engineer jobs near you

Sr. Forward Deployed AI Engineer

Advanced Micro Devices, Inc

Santa Clara, CA • On-site

$178K/yr

Full-time

Re-posted yesterday

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
We're looking for a Forward Deployed Research Engineer to build, evaluate, and deploy cutting-edge AI systems that solve complex engineering challenges for enterprise customers.
This is not a traditional Solutions Engineer or prompt engineering role. You'll combine deep software engineering, applied AI research, and customer engagement to develop production-ready AI systems using modern LLMs, reinforcement learning, agentic workflows, and post-training techniques.
THE PERSON:
You'll work directly with customers, researchers, and product teams to transform ambiguous engineering problems into scalable AI solutions. From rapid prototyping to production deployment, you'll help shape both customer success and the evolution of our AI platform.
What Makes This Role Unique
  • Build AI systems that solve real-world engineering problems-not proof-of-concepts.
  • Work across applied AI research, software engineering, and customer deployment.
  • Partner directly with enterprise engineering teams to define, build, and validate AI solutions.
  • Influence future AI products by translating customer challenges into reusable platform capabilities.
  • Own projects end-to-end-from technical discovery and experimentation through deployment and measurable impact.

KEY RESPONSIBILITIES:
  • Partner with customer engineering teams to understand workflows, technical challenges, and opportunities for AI-driven automation.
  • Design, build, and deploy production-grade AI applications, LLM agents, and engineering automation solutions.
  • Develop evaluation frameworks, benchmarks, testing environments, and data pipelines to measure model quality and business impact.
  • Build and evaluate LLM post-training solutions, including supervised fine-tuning, reinforcement learning, preference optimization, and reward modeling.
  • Diagnose and optimize AI system performance across models, data, infrastructure, orchestration, and tooling.
  • Collaborate with AI researchers to validate new models and techniques in production environments.
  • Present technical solutions, architecture, and implementation strategies to engineering leaders, customers, and executive stakeholders.
  • Transform recurring customer use cases into reusable AI infrastructure, frameworks, and platform capabilities.

REQUIRED QUALIFICATIONS:
  • Strong software engineering experience in Python and at least one systems language such as C++, Rust, C, TypeScript, CUDA, or HIP.
  • Proven experience building production AI or machine learning systems beyond prompt engineering or API integrations.
  • Hands-on experience with one or more of the following:
    • LLM post-training
    • Reinforcement Learning (RLHF, PPO, DPO, GRPO, or similar)
    • Preference Optimization
    • Reward Modeling
    • Model or Agent Evaluation
    • AI Training or Inference Infrastructure
  • Deep understanding of transformer-based LLMs, inference, fine-tuning, retrieval, evaluation, and agent architectures.
  • Experience designing reproducible evaluation frameworks using benchmarks, testing, and measurable performance metrics.
  • Strong systems thinking, debugging, and problem-solving skills.
  • Experience translating ambiguous technical requirements into scalable production solutions.
  • Ability to work directly with customers and technical stakeholders to drive solution design, implementation, and adoption.
  • Excellent written and verbal communication skills with engineers, researchers, customers, and executive leadership.

PREFERRED QUALIFICATIONS:
  • Experience training, fine-tuning, or post-training foundation models or open-source LLMs.
  • Experience with PyTorch, Hugging Face, JAX, TensorFlow, Ray, vLLM, or distributed AI infrastructure.
  • Experience building AI agents, retrieval systems, tool calling, workflow orchestration, or automated code generation.
  • Experience with GPU optimization, CUDA, distributed systems, or high-performance computing.
  • Background in forward-deployed engineering, applied AI research, customer engineering, or solutions architecture.
  • Demonstrated success delivering AI solutions from customer discovery through deployment with measurable business impact.

ACADEMIC CREDENTIALS:
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience). Master's preferred; PhD is a plus for candidates with strong applied research or systems experience
LOCATION:
Santa Clara, CA
#LI-BW1
#LI-hybrid
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply