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Director Prompt Engineer Jobs in Canton, MI (NOW HIRING)

Sunset Grown

AI Engineer

Livonia, MI · On-site

Design and maintain evaluation suites and benchmarks to track model and prompt performance ... Foundry vs. direct API integration), weighing cost, performance, and reliability tradeoffs.

Mastronardi Produce Limited

AI Engineer

Livonia, MI · On-site

Design and maintain evaluation suites and benchmarks to track model and prompt performance ... Foundry vs. direct API integration), weighing cost, performance, and reliability tradeoffs.

OneMagnify

Associate Creative Director

Detroit, MI · On-site

$100 - $125/hr

The Associate Creative Director, Copy is a senior creative lead responsible for shaping the voice ... Experience working in or alongside AI-assisted content workflows -- prompt engineering, editorial ...

OneMagnify

Associate Creative Director

Detroit, MI · On-site

The Associate Creative Director, Copy is a senior creative lead responsible for shaping the voice ... Experience working in or alongside AI-assisted content workflows - prompt engineering, editorial ...

Stellantis

AI Coding Product Leader

Auburn Hills, MI · On-site

... prompt engineering, agent workflows, orchestration frameworks, RAG, embeddings, and AI-enabled development environments. • Ability to assess AI coding solutions based on productivity, quality ...

General Motors

AI Agent Engineer

Warren, MI · On-site

Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...

General Motors

AI Agent Engineer

Warren, MI · On-site +1

Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...

Pwc

AI Solutions Engineering Delivery Lead

Detroit, MI · On-site

$101K - $133K/yr

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or ...

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All JobsPrompt Engineer JobsDirector Prompt Engineer JobsDirector Prompt Engineer Jobs in Canton, MI

Director Prompt Engineer information

See Canton, MI salary details

$55.1K

$103.5K

$188.1K

How much do director prompt engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director prompt engineer in Canton, MI is $103,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $122,800.00 per year, depending on experience, location, and employer.

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 job categories do people searching Director Prompt Engineer jobs in Canton, MI look for?

The top searched job categories for Director Prompt Engineer jobs in Canton, MI are:

Director Prompt Engineer jobs near you
Infographic showing various Director Prompt Engineer job openings in Canton, MI as of June 2026, with employment types broken down into 63% Full Time, 33% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $103,455 per year, or $49.7 per hour.

AI Engineer

Sunset Grown

Livonia, MI • On-site

Full-time

Re-posted 17 days ago

Job description

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now the leading greenhouse vegetable company on the continent. Our award-winning, flavorful produce is packed under the SUNSET® brand and is available at leading grocery retailers across North America. Family owned for over 70 years, we pride ourselves on having the most flavorful products and the best people in the industry. We are constantly pushing boundaries to be a leader in fresh produce innovation. We seek individuals that demonstrate our PRIDE values (Passion, Respect, Innovation, Drive, Excellence) to help us fulfill our mission to inspire healthy living through WOW flavor experiences.
Our corporate office in Livonia Michigan is currently seeking an AI Engineer to join our team. The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and integrations that extend Mastronardi's AI Enablement platform across the business. The role focuses on turning AI capabilities - large language models, retrieval, and agentic workflows - into production-ready tools that are reliable, governed, and embedded directly into business systems and processes. This is a hands-on individual contributor role: the AI Engineer writes code, builds integrations, and ships working solutions directly, with accountability for the technical architecture, performance, and security of every solution deployed.
Values:
To perform the job successfully, the incumbent's behavior must be consistent with the PRIDE values expected of all Mastronardi Produce employees: be Passionate; have Respect; be Innovative; be Driven and strive for Excellence.
Primary Responsibilities:
  • Design, build, and deploy AI-powered applications and integrations that connect large language models (e.g., Claude, Azure OpenAI) to business systems and data sources.
  • Build retrieval-augmented generation (RAG) pipelines and knowledge bases that ground AI outputs in accurate, current company data.
  • Develop and refine prompts, system instructions, and evaluation frameworks to ensure AI outputs are accurate, consistent, and auditable.
  • Build the initial APIs, connectors, and integration logic between AI platforms and enterprise systems (ERP, WMS, data platforms, Microsoft 365) as part of solution design, handing off production deployment and ongoing operation to Cloud Operations & Infrastructure.
  • Define the guardrails, audit points, and monitoring requirements AI solutions need so outputs can be reviewed, debugged, and improved after deployment, partnering with Cloud Operations & Infrastructure on the monitoring infrastructure that implements them.
  • Test AI solutions rigorously before release, including functional testing, edge-case validation, and structured evaluation against real business scenarios.
  • Partner with the Data Engineering and Data Governance teams to ensure AI solutions use well-structured, quality data and comply with security and privacy requirements.
  • Stay current on the AI tooling landscape (models, frameworks, agent platforms) and recommend where new capabilities apply to real business problems.
  • Build reusable components, templates, and internal libraries that speed up delivery of future AI solutions.
  • Create and maintain clear technical documentation for all solutions, architectures, and operating procedures.
  • Ensure all solutions align with IT governance, security, and compliance standards.
  • Design and maintain evaluation suites and benchmarks to track model and prompt performance over time, catching regressions before they reach production.
  • Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs. direct API integration), weighing cost, performance, and reliability tradeoffs.
  • Support incident response for AI-related production issues and participate in post-incident reviews to identify root cause and prevent recurrence.

Education/Background Requirements:
  • At least 5 years experience in AI Engineering
  • Diploma/Degree in related discipline
  • Software development experience in Python (required) and at least one other language (e.g., JavaScript/TypeScript, C#, or similar).
  • Hands-on experience building applications with large language models - prompt engineering, RAG, tool/function calling, and agentic workflows.
  • Experience with LLM platforms and APIs such as Claude (Anthropic), Azure OpenAI, or equivalent.
  • Experience building and consuming REST APIs and integrating disparate systems.

Specific Knowledge, Skills and Abilities Required
  • Working knowledge of vector databases, embeddings, and retrieval techniques.
  • SQL: ability to query, join, and filter data across relational databases.
  • Experience with cloud platforms (Microsoft Azure preferred) including AI/ML services such as Azure AI Foundry.
  • Version control and CI/CD practices (Git, automated testing, deployment pipelines).
  • Understanding of AI safety, governance, and evaluation practices - ensuring outputs are auditable and appropriate for business use.
  • Familiarity with ERP or enterprise data structures (Microsoft Dynamics NAV/365, SAP, or equivalent) is an asset.
  • Understanding of responsible AI practices, including bias evaluation and hallucination mitigation, to keep model outputs safe and appropriate for business use.
  • Experience with containerization and deployment tooling (e.g., Docker, Azure App Service or Functions) is an asset.

Working Conditions:
  • Typical office environment.

Please note: Mastronardi Produce has accommodation processes and policies in place and provides accommodation for employees with disabilities. If you require a specific accommodation because of a disability or documented medical need, please contact the Human Resource office so that arrangements can be made for the appropriate accommodation to be put into place.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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