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Director Prompt Engineer Jobs in Arizona (NOW HIRING)

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

Sr. Advanced AI Software Engineer

Tempe, AZ

$119K - $157K/yr

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

Sr. Advanced AI Software Engineer

Laveen, AZ

$116K - $154K/yr

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

Sr. Advanced AI Software Engineer

Tempe, AZ

$117K - $154K/yr

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

Sr. Advanced AI Software Engineer

Laveen, AZ

$116K - $153K/yr

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

Sr. Advanced AI Software Engineer

Laveen, AZ

$115K - $152K/yr

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

Sr. Advanced AI Software Engineer

Peoria, AZ

$120K - $158K/yr

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

You will report directly to our Director of Engineering, and you'll work out of our Phoenix ... Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines.

Showing results 21-40

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.

Are director prompt engineers still in demand?

Director prompt engineers are increasingly in demand as organizations seek expertise in designing and optimizing AI prompts for large language models. The role requires strong skills in AI, natural language processing, and strategic thinking, with demand driven by the growth of AI applications across industries.

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.

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 are the most commonly searched types of Prompt Engineer jobs in Arizona? The most popular types of Prompt Engineer jobs in Arizona are:
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Sr. Advanced AI Software Engineer

Honeywell

Glendale, AZ

$121K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 538 rated manufacturers


Job description

Job Description
Honeywell is seeking a Sr. Advanced AI Software Engineer to join our team! In this role, you will lead the strategic vision and roadmap while driving performance, reliability, and quality across our software products to support scalable business growth.
You will report directly to our Director of Engineering, and you'll work out of our Phoenix, Arizona location on a hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.
Responsibilities
  • Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end.
  • Architect scalable, reliable, and cost-efficient AI solutions for production environments.
  • Lead model optimization, evaluation, monitoring, and continuous improvement.
  • Drive MLOps practices for training, deployment, CI/CD, and lifecycle management.
  • Collaborate with product, data, and platform teams to deliver business-aligned AI outcomes.
  • Provide technical leadership through design reviews, mentorship, and AI strategy influence.

Qualifications
YOU MUST HAVE
  • 5+ years of hands-on AI/ML experience in production environments. Proven track record of delivering AI-powered systems at scale. Experience working in cross-functional, fast-paced environments
  • Core AI / Machine Learning
  • Deep expertise in: Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers)
  • Hands-on experience with: Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search.
  • Programming & Software Engineering: Strong proficiency in Python (primary AI development language), Experience with at least one additional language (Java, C++).
  • Solid understanding of: Data structures, algorithms, and distributed systems, API design, microservices, and backend integration, Ability to write clean, maintainable, production-quality code, AI & ML Frameworks.
  • Strong experience on one or more cloud platforms: Azure, AWS, Containerization and orchestration: Docker, Kubernetes: CI/CD tools for ML workflows

WE VALUE
  • Bachelor's degree in Computer Science, AI, ML, Data Science, or a related field
  • Master's degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field
  • Multi-agent systems and autonomous agents
  • Edge AI or model compression/quantization
  • AI safety research and explainability techniques
  • Knowledge of: SQL and NoSQL databases
  • Familiarity with vector databases
  • Publications, patents, or open-source contributions in AI/ML

US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/28/2026
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
Required Skills
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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906