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Director Prompt Engineer Jobs in Michigan (NOW HIRING)

Continuum Services

Be Seen First

Building Engineer

Detroit, MI · On-site

$40 - $44/hr

Provide prompt and courteous response to tenant requests within the guidelines set forth by the ... Order, stock and inventory parts and supplies as directed by the Engineering Manager or Assistant ...

Urgent

Continuum Services

Be Seen First

Building Engineer

Detroit, MI · On-site

$40 - $44/hr

Provide prompt and courteous response to tenant requests within the guidelines set forth by the ... Order, stock and inventory parts and supplies as directed by the Engineering Manager or Assistant ...

Urgent

Rithum LinkedIn Board

Qualifications Minimum Qualifications * 3+ years of presales consultative experience OR direct ... data analysis, prompt engineering, and/or documentation. Preferred Qualifications * Bachelor ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Detroit, MI · Remote

$35 - $50/hr

Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

Attalon, Inc.

Manufacturing Engineer

Traverse City, MI · On-site

$65K - $125K/yr

From high-energy directed laser systems to satellite optics and hypersonic thermal protection ... Completion of tasks and projects on time with a prompt response and technical documentation. * Lead ...

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Director Prompt Engineer information

What are Director Prompt Engineers?

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 is the highest paid prompt engineer?

The highest paid prompt engineers typically earn salaries exceeding $150,000 annually, especially those with advanced skills in AI, machine learning, and natural language processing, and experience working with large language models like GPT. Senior roles or those in tech hubs may offer even higher compensation, often including bonuses and stock options.

What engineers make $300,000 a year?

Senior engineers in fields such as software, data engineering, and specialized roles like AI or machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or AI research directors that offer compensation in that range. These positions often require advanced expertise in AI, extensive experience, and may include bonuses or stock options as part of the total package.

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

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.

What engineer makes $500,000 a year?

A Director Prompt Engineer or senior AI/ML engineer with extensive experience and specialized skills can earn $500,000 or more annually, especially in high-demand industries like technology and finance. Such roles often require advanced knowledge of machine learning, natural language processing, and proficiency with tools like Python, TensorFlow, or PyTorch, along with leadership responsibilities. Compensation at this level typically includes base salary, bonuses, and stock options.

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 Michigan? The most popular types of Prompt Engineer jobs in Michigan are:
What are popular job titles related to Director Prompt Engineer jobs in Michigan? For Director Prompt Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Director Prompt Engineer jobs in Michigan look for? The top searched job categories for Director Prompt Engineer jobs in Michigan are:
What cities in Michigan are hiring for Director Prompt Engineer jobs? Cities in Michigan with the most Director Prompt Engineer job openings:
Director Prompt Engineer jobs near you
Senior GCP Data Engineer With AI/LLM (W2 Position)

Senior GCP Data Engineer With AI/LLM (W2 Position)

Megan soft Inc

Dearborn Heights, MI • On-site

$97K - $132K/yr

Other

Re-posted 2 days ago

Job description

Hi We have a job opportunity of a Role Senior GCP Data Engineer With AI/LLM with given job description on W2. Please forward updated profile to Koti@megansoft.com or +1  (248) 671-4750.

Role: Senior GCP Data Engineer With AI/LLM (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 10+ Years

Note : please dont share profiles who are not comfortable to Work On W2

JD:

Skills Required:

GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API

  • GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data – Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Data Warehousing – Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift). For example, modeling a star schema for a retail analytics platform that supports reporting on sales, inventory, and customer behavior.
  • Artificial Intelligence & Expert Systems – Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API – Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:

Google Cloud Platform

  • Google Cloud Platform – Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:

Senior Engineer Exp: 10+ years Data Engineering  work experience

Experience Preferred:

  • Operational Excellence: Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
  • Governance & Quality: Prioritizing data lineage, PII protection, and observability to maintain high trust in data assets.
  • Collaboration: Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to deliver self-service analytics. Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Proven experience in building and deploying RAG systems, including the use of **Vector Databases**.
  • Proficiency in Python programming.
  • Solid experience with SQL for data manipulation and querying.
  • Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
  • Basic understanding and practical experience with Machine Learning model fine-tuning.
  • Familiarity with data engineering concepts and practices.
  • Expertise in prompt engineering techniques for interacting with LLMs.
  • Experience with the OpenAI SDK.
  • Experience developing robust APIs, preferably with **FastAPI**.
  • Proficiency with **version control systems (e.g., Git)**.
  • Experience with **containerization technologies (e.g., Docker)**.
Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335