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Video Prompt Engineer Jobs in Texas (NOW HIRING)

Experience with physical security technologies, including video surveillance systems, access ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Technical Support

Houston, TX · On-site

$18 - $20/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Embrace and learn the Video Surveillance / CCTV technologies and their applications * Provide ... Provide prompt and effective customer service and technical support * Service customers in an ...

... video surveillance systems, access control platforms, incident management systems, and security ... g., prompt/context engineering, agent orchestration) and staying current with emerging AI ...

Senior Product Manager

Waco, TX · On-site

$112K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate closely with Engineering to co-create solutions that take advantage of modern ... video cover letter tailored to the prompt below. Prompt: Tell us about something you're proud to ...

Oversee the installation of equipment, including programming and configuration of video servers, IP ... Demonstrate regular and prompt attendance * Performs other related duties as necessary or assigned

New

Product Manager

Waco, TX · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will work closely with Engineering, UX, and cross-functional partners to deliver outcomes that ... video cover lettertailored to the prompt below. Prompt: Tell us about a product, problem, or ...

Showing results 41-60

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 do 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 relevant tools and platforms such as generative AI models, video editing software, and scripting languages like Python. Building a portfolio of projects and staying updated on industry advancements can also improve job prospects.

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

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

Infographic showing various Video Prompt Engineer job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Lead Software Test Automation Engineer | Test Architect - Agentic AI

Wolters Kluwer

Coppell, TX • On-site

$89K - $157K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

25th of 244 rated software companies


Job description

We are seeking a Lead Test Automation Architectto define and lead an enterprise-gradetest automation strategyacross UI, API, data, and platform layers-while evolving our quality engineering capabilities to supportAgentic AI / LLM-based systems(probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and accelerate delivery through highly productive, maintainable automation programs.Key ResponsibilitiesAutomation Strategy & Architecture
  • Define and own thetest automation architecture and multi-layer strategy(UI/API/contract/integration/e2e), aligned to product risk and release cadence.
  • Establish automationstandards, patterns, and reference implementations(framework structure, page-object/screenplay usage, test data patterns, reporting).
  • Driveshift-left testingpractices (contract testing, component testing, pre-merge validation) and reduce reliance on fragile end-to-end tests.
Agentic AI / LLM Test Model Alignment
  • Design and implement testing approaches fornon-deterministic AI outputs, including:
    • confidence/threshold-based assertions
    • semantic similarity checks and rubric-based validation
    • goldens/benchmark datasets and evaluation harnesses
    • hallucination and groundedness testing strategies
    • regression detection across model/prompt/version changes
  • Define AI test coverage acrossaccuracy, robustness, bias/safety (as applicable), performance, and reliability.
  • Partner with ML/AI, Product, and Engineering to establishacceptance criteriafor AI capabilities and measurable quality gates.
High-Productivity Automation Programs
  • Build and scalehigh-throughput automation projectsthat are reliable, fast, and easy to extend.
  • Improvetest execution time, reduce flaky tests, and optimize CI/CD pipelines (parallelization, test selection, retries with guardrails).
  • Create actionable, engineering-friendlyquality dashboards(pass/fail trends, flake rate, coverage, defect escape metrics).
Tooling, CI/CD, and Quality Gates
  • Integrate automation into CI/CD withquality gates(PR checks, nightly suites, release readiness criteria).
  • Standardizeobservability for testing: logs, tracing hooks, screenshots/video, artifacts, and test run diagnostics.
  • Define practices fortest environments, data management, service virtualization, and dependency control.
Technical Leadership & Mentorship
  • Serve as the QE technical authority: coach engineers on automation design, code quality, and best practices.
  • Lead design reviews for test architecture and automation PRs; enforce coding standards and maintainability.
  • Influence roadmap and delivery by translating risk into clear testing priorities.
Required Qualifications
  • 8-12+ yearsin Quality Engineering / Test Automation witharchitect-level ownershipof frameworks and strategy.
  • Proven experience designing scalable automation across:
    • API testing(contract + integration)
    • UI automationwith stable locator strategies (test IDs, accessibility roles)
    • Test datastrategy and environment reliability
  • Strong programming skills in at least one modern language (e.g.,Java, Python, TypeScript/JavaScript, C#).
  • Expertise with automation tools/frameworks (examples):
    • UI: Playwright / Cypress / Selenium
    • API: REST-assured / SuperTest / Postman/Newman / pytest
    • CI: GitHub Actions / Jenkins / Azure DevOps
  • Demonstrated ability to reduce flakiness and improve execution speed throughengineering solutions.
Preferred Qualifications (Strongly Desired)
  • Experience testingLLM/Agentic AIfeatures or other probabilistic systems, including:
    • evaluation harnesses, benchmark datasets, semantic scoring, and drift detection
    • prompt/version regression strategies and structured evaluation reports
  • Familiarity with modern quality approaches:test pyramid,contract testing,consumer-driven contracts,risk-based testing,shift-left.
  • Knowledge of security/performance testing integration (baseline understanding; hands-on is a plus).
  • Experience building reusable automation libraries for multiple teams/products.
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$89,600.00 - $157,000.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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