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Video Prompt Engineer Jobs in Wisconsin (NOW HIRING)

WIN Technology

Network Systems Technician

Eau Claire, WI · On-site

$23.25 - $30/hr

Provide prompt notification to customers on outages as well as troubleshooting, outage management ... Complete video channel turn-up, testing and repair * Complete standard operating procedures to ...

All JobsVideo Prompt Engineer JobsVideo Prompt Engineer Jobs in Wisconsin

Video Prompt Engineer information

What is a video prompt engineer?

A Video Prompt Engineer is a professional who designs and optimizes prompts to guide artificial intelligence (AI) systems in generating or editing video content. They work closely with AI models to fine-tune instructions, ensuring the resulting videos meet specific creative, technical, or business goals. Their responsibilities often include scripting effective prompts, testing AI outputs, and collaborating with developers and creatives to enhance video quality and relevance. As AI video tools become more advanced, the role of a Video Prompt Engineer is becoming increasingly important in industries like advertising, entertainment, and digital content creation.

What are the key skills and qualifications needed to thrive as a video prompt engineer, and why are they important?

To thrive as a Video Prompt Engineer, you need expertise in video production, scripting, and an understanding of AI prompt engineering, often supported by experience with media editing tools and a background in computer science or related fields. Familiarity with platforms like Adobe Premiere, After Effects, and generative AI systems such as OpenAI, Runway, or Synthesia is typically required. Strong creativity, attention to detail, and effective communication skills help in crafting prompts that yield high-quality, contextually relevant video outputs. These abilities are crucial for bridging the gap between technical AI capabilities and compelling visual storytelling, ensuring that generated video content meets project objectives.

What are some typical challenges video prompt engineers face when collaborating with creative teams?

Video Prompt Engineers often work closely with creative teams to develop prompts that yield visually engaging and contextually accurate video outputs from generative AI models. One common challenge is translating creative concepts into precise, technical prompts that the AI can interpret effectively. Balancing the creative vision with the technical constraints of the model requires strong communication and iterative problem-solving. Additionally, staying updated on the latest advancements in generative video technology is essential to ensure the prompts leverage new capabilities while maintaining high-quality results.

What is the difference between Video Prompt Engineer vs AI Content Creator?

AspectVideo Prompt EngineerAI Content Creator
Required CredentialsKnowledge of AI models, prompt engineering, multimedia toolsCreativity, familiarity with AI tools, content development
Work EnvironmentTech companies, media agencies, AI startupsDigital media, marketing firms, content platforms
Industry UsageAI-driven video production, multimedia projectsSocial media, advertising, online content
Search & Comparison IntentUnderstanding roles in AI video creationCreating AI-generated content for digital platforms

The main difference is that a Video Prompt Engineer specializes in designing prompts for AI models to generate videos, focusing on technical prompt optimization. An AI Content Creator develops digital content using AI tools, often across various media types. While both roles involve AI and creativity, the Video Prompt Engineer is more technical and focused on video-specific prompts, whereas the AI Content Creator emphasizes content production and storytelling across platforms.

Are prompt engineers still in demand?

Prompt engineers, especially those working with AI and machine learning models, are increasingly in demand as organizations seek to optimize AI outputs and develop advanced applications. Skills in natural language processing, AI tools, and prompt design are valuable in industries such as technology, entertainment, and marketing, with job growth expected to continue as AI adoption expands.

How can I become a video prompt engineer?

To become a video prompt engineer, develop skills in AI and machine learning, particularly in natural language processing and computer vision. Gain experience with video editing tools, scripting, and prompt design, and consider earning certifications in AI or related fields. Building a portfolio of projects and staying updated on emerging AI technologies can also enhance your qualifications.

What are popular job titles related to Video Prompt Engineer jobs in Wisconsin?

For Video Prompt Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Video Prompt Engineer jobs in Wisconsin look for?

The top searched job categories for Video Prompt Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Video Prompt Engineer jobs?

Cities in Wisconsin with the most Video Prompt Engineer job openings:

Video Prompt Engineer jobs near you
Infographic showing various Video Prompt Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Full Stack Developer with AI - Hybrid

Cognizant Technology Solutions

Milwaukee, WI • On-site

$55K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

Full Stack Developer with AI - Hybrid
Important Disclaimers:
Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.
Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
In this role, you will:
  • Design, develop, and maintain applications using .NET / .NET Core (C#) following best practices and coding standards.
  • Build and deploy cloud-based solutions leveraging Microsoft Azure services (App Services, Functions, Azure SQL, Storage, etc.).
  • Design, develop, and maintain full-stack web applications across front-end and back-end layers.
  • Build responsive, user-friendly UI components using modern front-end frameworks (React, Angular, or Vue).
  • Develop and maintain back-end services, APIs, and databases to support application functionality.
  • Integrate AI/ML capabilities and third-party AI APIs (e.g., OpenAI, Azure AI, LLM-based services) into existing applications and workflows.
  • Collaborate with product, design, and data teams to translate business requirements into technical solutions.
  • Write clean, scalable, and well-tested code following best practices across the stack.
  • Participate in code reviews, troubleshooting, and performance optimization for both front-end and back-end systems.
  • Stay current with emerging AI tools and frameworks, proposing opportunities to enhance products with AI-driven features.

Location: Milwaukee, WI
Work model: Hybrid
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Milwaukee, WI . Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered:
  • 3-5 years of experience as a Full Stack Developer, working across front-end and back-end technologies.
  • Proficiency in front-end frameworks (React, Angular, or Vue) and back-end languages/frameworks (Node.js, .NET, Python, or Java).
  • Experience designing and consuming RESTful APIs, and working with relational or NoSQL databases.
  • Practical experience integrating AI/ML services or LLM APIs (e.g., OpenAI, Azure OpenAI, LangChain) into applications.
  • Proficiency with RESTful APIs, Web API development, and integration with third-party services.
  • Familiarity with cloud platforms (Azure, AWS, or GCP) for deployment and hosting.
  • Understanding of version control (Git), CI/CD pipelines, and Agile development practices.
  • Strong problem-solving skills with the ability to work across the full technology stack independently.
  • Experience with prompt engineering, AI workflow design, or building AI-assisted features is a plus.

Salary and Other Compensation:
Applications will be accepted until 9/17/2026.
The annual salary for this position is between $55K - 114K depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer : The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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