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Generative Ai Writer Jobs in Michigan (NOW HIRING)

Corning

... ML and generative AI use cases, ensuring standards for transparency, explainability, risk ... Clear written communication skills and attention to detail - Experience in AI, data, digital ...

Autodesk, Inc.

Senior Cloud & AI FinOps Analyst

Novi, MI · On-site

$82K - $109K/yr

As generative AI tools become deeply embedded in our engineering and corporate workflows, you will ... Strong written and verbal communication skills, including technical writing for documentation and ...

Autodesk

Senior Cloud & AI FinOps Analyst

Novi, MI · On-site

$82K - $109K/yr

As generative AI tools become deeply embedded in our engineering and corporate workflows, you will ... Strong written and verbal communication skills, including technical writing for documentation and ...

Deloitte

AI Security Engineer Manager

Midland, MI

Effective written and verbal communication skills * Meticulous attention to detail and quality of ... and Generative AI solutions. You will operate hands-on across high-visibility initiatives ...

Deloitte

AI Security Engineer Manager

Detroit, MI

Effective written and verbal communication skills * Meticulous attention to detail and quality of ... and Generative AI solutions. You will operate hands-on across high-visibility initiatives ...

Relativity

Legal AI Advisor

Detroit, MI · On-site

If you're ready to help write the next chapter of legal AI, we'd love to hear from you. and ... workflows around generative AI so lawyers work faster, smarter, and more defensibly. Legal ...

New

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

The Product Engineering area is responsible for designing, writing, testing and deploying the code ... Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building ...

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Generative Ai Writer information

What is a generative AI writer?

A Generative AI Writer creates content using artificial intelligence tools, such as language models, to generate text for various purposes, including articles, marketing copy, scripts, and more. They refine AI-generated content for accuracy, coherence, and tone, ensuring it meets project requirements. This role often involves prompt engineering, editing, and optimizing AI outputs to enhance readability and engagement. Generative AI Writers work across industries such as media, advertising, and technology to streamline content production.

What are the typical daily responsibilities of a generative AI writer?

As a Generative AI Writer, your day-to-day tasks often include designing and refining prompts for AI models, editing and fact-checking AI-generated text, and collaborating with subject matter experts to ensure technical accuracy and relevance. You may also conduct research to guide content strategy and analyze output data to improve tone, style, and cohesion. This role requires regular communication with product managers, engineers, and editors to align content with business goals and user needs. The work is dynamic and fast-paced, offering the opportunity to shape new applications of AI in content creation while developing expertise in a rapidly evolving field.

What are the key skills and qualifications needed to thrive in the generative AI writer position, and why are they important?

To thrive as a Generative AI Writer, you need strong writing skills, a solid understanding of AI-generated content processes, and familiarity with natural language processing concepts. Proficiency with AI writing tools, prompt engineering platforms, and sometimes coding languages like Python is often required, and certification in content creation or marketing can be beneficial. Creativity, adaptability, and strong communication skills help distinguish top performers in this role. These capabilities are essential for producing high-quality, contextually accurate AI-driven content and collaborating effectively with both technical and non-technical teams.

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Generative Ai Writer jobs near you

Principal AI Architect - Supply Chain

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 27 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

We're building an AI-enabled supply chain that senses, predicts, prescribes, and acts. As Principal AI Architect, you'll design and build enterprise-grade AI systems - from data pipelines and models to agents and applications - that run in production across our Supply Chain organization.
This is a hands-on technical role. You'll be in the architecture, in the code, and in the weeds of production systems. You'll design solutions, prototype approaches, write and review code, and unblock engineering teams building alongside you.
Responsibilities include but not limited to:
  • Architect and help build AI, generative AI, and agentic AI solutions - from proof of concept through production - using Python, FastAPI, PyTorch, LangGraph, and AutoGen
  • Design solution architecture across data pipelines (Snowflake, Databricks), models, agents, RAG pipelines, vector databases, APIs, and React-based applications on AWS and Azure
  • Get hands-on with complex technical problems: debugging production issues, prototyping new approaches, and reviewing code and system design
  • Lead architecture reviews and technical decision-making, weighing tradeoffs across performance, cost, scalability, and maintainability
  • Use GitHub, GitHub Actions, and GitHub Copilot to build and ship faster - for your own work and across teams
  • Partner directly with product, data engineering, AI engineering, and platform teams to solve real technical problems, not just review their plans
  • Mentor engineers through pairing, code review, and hands-on problem-solving

Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related technical field
  • 8+ years building production software, AI/ML systems, or data platforms
  • 5+ years architecting and building production AI/ML solutions in Python, including LLMs, RAG architectures, and vector databases, on cloud-native infrastructure (AWS or Azure), with at least 1+ years of hands-on experience in agentic AI frameworks (e.g., LangGraph, AutoGen, or equivalent)
  • Experience with modern MLOps practices and CI/CD (GitHub Actions or equivalent)
  • Proven ability to take AI or software systems from concept through production, including debugging, performance tuning, and operational support
  • Comfortable operating independently and making architecture calls with incomplete information
  • Strong communication skills - able to explain technical tradeoffs to engineers, product partners, and senior leaders

Preferred Qualifications:
  • Experience with FastAPI or similar frameworks for building production AI/ML services
  • Experience with PyTorch for model development, fine-tuning, or inference
  • Experience with Snowflake and/or Databricks for data pipelines feeding AI/ML systems

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

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