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Stable Diffusion Jobs in Texas (NOW HIRING)

Senior AI Engineer, MarTech

Frisco, TX · On-site +1

$114K - $151K/yr

Build and maintain scalable pipelines for automated ad creative generation (text, image, and video) using LLMs and Multimodal models (Stable Diffusion, GPT-4o, Sora) while ensuring brand-safe ...

Gen AI Engineering Lead

Houston, TX · On-site

$93K - $122K/yr

Experience with generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion), preferred * Experience in a professional services environment, preferred License/Certifications: * AI/ML certifications ...

Gen AI Engineering Lead

Houston, TX

$93K - $122K/yr

Experience with generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion), preferred * Experience in a professional services environment, preferred License/Certifications: * AI/ML certifications ...

Use of ai tools such as Midjourney, DALL-E, Stable Diffusion, Firefly Travel Requirements * Limited Travel might be required for company events Physical Requirements While performing the duties of ...

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Stable Diffusion information

See Texas salary details

$12

$29

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How much do stable diffusion jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for stable diffusion in Texas is $29.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $37.64 per hour, depending on experience, location, and employer.

What are some common challenges faced by Stable Diffusion Engineers in their daily work?

Stable Diffusion Engineers often encounter challenges such as fine-tuning models to balance image quality and computational efficiency, troubleshooting issues with training data consistency, and managing large-scale GPU resources. Collaborating closely with data scientists, artists, and software engineers is essential to ensure that generated images meet project requirements and stakeholder expectations. Additionally, staying current with rapid advancements in generative AI and deep learning techniques is a regular part of the role. These challenges make the position dynamic and rewarding for those who enjoy problem-solving and working on cutting-edge technology in a collaborative environment.

What are the key skills and qualifications needed to thrive in the Stable Diffusion position, and why are they important?

To excel as a Stable Diffusion Engineer or Specialist, you need a strong background in machine learning, computer vision, and programming, typically supported by experience with deep learning frameworks and image generation models. Familiarity with tools such as Python, TensorFlow or PyTorch, and specific Stable Diffusion model architectures is commonly expected, along with relevant certifications in AI or data science. Problem-solving skills, creativity, and effective collaboration are key soft skills that help address complex image generation tasks and foster innovation within interdisciplinary teams. These abilities are essential for successfully implementing and optimizing diffusion models in real-world applications, ensuring impactful results and project success.

What is a Stable Diffusion job?

A Stable Diffusion job typically involves working with AI-powered image generation models, such as Stable Diffusion, to create, fine-tune, or optimize digital artwork and visual content. Responsibilities may include training models, improving prompt engineering, enhancing image quality, and integrating AI-generated visuals into various applications. Roles in this field can range from machine learning engineers and prompt engineers to digital artists and researchers. Skills in Python, deep learning frameworks, and image processing are often valuable.

What cities in Texas are hiring for Stable Diffusion jobs? Cities in Texas with the most Stable Diffusion job openings:
Senior AI Engineer, MarTech

Senior AI Engineer, MarTech

Skyhigh Networks

Frisco, TX • On-site, Remote

$114K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Job Title:Senior AI Engineer, MarTechRole Overview:We are looking for a Senior AI Engineer to lead the transformation of our marketing ecosystem. You won't just be maintaining tools; you will be architecting the intelligence layer that powers hyper-personalization, autonomous campaign optimization, and generative creative pipelines. You will architect and lead buildout of infrastructure systems that do not merely execute pre-defined tasks but perceive context, reason through complex strategic problems, and orchestrate end-to-end workflows with minimal human intervention. We are moving from "campaign management" -a manual, administrative task-to "campaign orchestration" a strategic, supervisory role and invest in effective Human-Agent Teams.
This is a position located in the US in either San Jose, CA or Frisco, TX. You will be required to be onsite on an as-needed basis. We are only considering candidates within a commutable distance to one of the two locations and are not offering relocation assistance at this time.

About the Role:

  • Architect Agentic Workflows: Design and deploy AI agents to automate complex marketing tasks such as cross-channel campaign orchestration and real-time lead qualification.
  • Generative Asset Pipelines: Build and maintain scalable pipelines for automated ad creative generation (text, image, and video) using LLMs and Multimodal models (Stable Diffusion, GPT-4o, Sora) while ensuring brand-safe guardrails.
  • Real-time Personalization: Implement RAG (Retrieval-Augmented Generation) systems to provide context-aware, personalized content across web, email, and SMS.
  • Build Predictive Models: Develop and productionalize ML models for high-impact marketing use cases: LTV (Lifetime Value) prediction, churn propensity, and "Next Best Action" engines.
  • MLOps & Integration: Own the end-to-end lifecycle of models, from feature engineering in SQL/Python to deployment via APIs and monitoring for data drift in production.
  • Privacy & Ethics: Ensure all AI implementations comply with global privacy standards (GDPR, CCPA) and implement "Privacy-First" AI features like differential privacy or synthetic data generation.
  • Governance: Implement robust Responsible AI frameworks to ensure that the speed of automation does not compromise the trust of the customer

About You:

  • Languages & Frameworks: Expert proficiency in Python. Deep experience with PyTorch or TensorFlow, and LLM orchestration frameworks (LangChain, LlamaIndex).
  • MarTech Ecosystem: Hands-on experience integrating AI with CDPs (HighTouch), ESPs (Braze, Iterable), or Ad Platforms (Meta Conversions API, Google Enhanced Conversions), Analytics (Adobe CJA), Customer focused websites (Javascript, Adobe Experience Manager)
  • Data Stack: Mastery of SQL and cloud data warehouses. Experience with Databricks for feature engineering is a huge plus.
  • Generative AI: Proven experience with Claude fine-tuning models (LoRA, QLoRA) and managing vector databases (Pinecone, Milvus, or Weaviate).
  • Deployment: Experience with Docker, Kubernetes, and cloud AI services (AWS SageMaker, Google Vertex AI, or Azure AI Studio).
  • Domain Expertise: Previous experience in a high-growth B2C marketing environment.
  • Experimentation Mindset: Strong understanding of Bayesian A/B testing and causal inference to measure the true uplift of AI interventions.
  • Strategic Thinking: Ability to translate vague marketing goals ("we want to increase engagement") into specific technical requirements and model objectives.
  • Customer TouchPoints: Experience developing applications or integrations with Windows, MacOS, iOS, Android ecosystems.

The Stack You'll Work With

  • Data Foundation: Databricks, HighTouch
  • AI/ML Engine: Claude, PyTorch, Hugging Face, OpenAI API, LangGraph
  • Orchestration: Airflow, Prefect, or GitHub Actions
  • Marketing Execution: Braze
  • Monitoring: Weights & Biases, Arize, or Grafana
  • Analytics: Adobe CJA

#LI-Hybrid


Company Overview

McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.

Company Benefits and Perks:

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • 401k Retirement Plan
  • Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
  • Paid Parental Leave
  • Support for Community Involvement
  • 14 Paid Company Holidays
  • Unlimited Paid Time Off for Exempt Employees
  • 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

The starting pay range for this position is $135,910.00-$223,285.00. McAfee takes into consideration an individual's skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.

Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.