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Online Generative Ai Engineer Jobs in Spring, TX

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Generative AI Engineer (Azure / RAG / LLM) We're looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases ...

Scadea

.Net Engineer

Houston, TX

AI Engineer with experience in Azure AI Foundry, Generative AI, and .NET development to build and integrate AI-powered enterprise applications. Design, develop, and maintain .NET applications to meet ...

New

Corebridgefinancial

AI Engineer

Houston, TX · On-site

$122K - $148K/yr

Work with structured and unstructured data for predictive and generative AI solutions * Manage and ... Strong programming skills in Python * Solid understanding of machine learning fundamentals and ...

Crowe LLP

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Pwc

AI Engineer

Houston, TX · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Gainwell Technologies LLC

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

Summary Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms.

Hexagon AB

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

Principal AI/ML Software Engineer Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA ... Key Responsibilities • Build and deploy Generative AI features using foundation models (AWS ...

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

Partner with data scientists and Generative AI Engineers to optimize model performance and deployment efficiency * Work cross-functionally with business stakeholders to align AI solutions with ...

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All JobsOnline Generative Ai Engineer JobsOnline Generative Ai Engineer Jobs in Spring, TX

Online Generative Ai Engineer information

See Spring, TX salary details

$33.8K

$103.1K

$170.4K

How much do online generative ai engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for online generative ai engineer in Spring, TX is $103,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $134,800.00 per year, depending on experience, location, and employer.

Are online generative AI engineers in-demand?

Online generative AI engineers are in high demand due to the rapid growth of AI applications in industries such as technology, healthcare, and entertainment. Skills in machine learning, deep learning frameworks, and programming languages like Python are highly sought after, and the role often offers competitive salaries and opportunities for remote work.

What are the key skills and qualifications needed to thrive as an online generative AI engineer, and why are they important?

To thrive as an Online Generative AI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, GCP), and experience with generative models such as GANs or transformers are typically required. Strong problem-solving abilities, creativity, and effective communication skills help engineers design innovative solutions and collaborate with multidisciplinary teams. These skills and qualities are vital for building robust AI systems that meet user needs and drive technological advancement.

What is an online generative AI engineer?

An Online Generative AI Engineer is a specialized software engineer who designs, develops, and deploys artificial intelligence (AI) models that generate new content, such as text, images, or audio, through online platforms or cloud services. They work with cutting-edge generative models like GPT, DALL-E, or diffusion models, and are responsible for integrating these technologies into web applications or online services. Their role often includes building scalable APIs, optimizing models for real-time usage, and ensuring responsible and ethical AI deployment. These engineers typically collaborate with data scientists, product managers, and UX/UI designers to deliver innovative AI-powered user experiences.

How does an online generative AI engineer typically collaborate with cross-functional teams during model development and deployment?

As an Online Generative AI Engineer, you will regularly work with data scientists, product managers, and software engineers to design, train, and deploy AI models. Collaboration often involves participating in sprint meetings, discussing data requirements, integrating models into production systems, and troubleshooting deployment issues. Effective communication is essential, as you'll need to translate complex model behaviors into actionable insights for non-technical stakeholders, and work closely with DevOps teams to ensure reliable and scalable deployment of generative AI solutions.

How much do online generative AI engineers make?

Online generative AI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in deep learning frameworks and large language models can command higher salaries, especially in competitive tech markets.

What is the difference between Online Generative Ai Engineer vs Data Scientist?

AspectOnline Generative Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning and AI frameworksDegree in Statistics, Data Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI startups, research labs; focus on developing AI models and algorithmsBusiness analytics, research, and data analysis teams; focus on data interpretation and insights
Employer & Industry UsagePrimarily in AI development, tech industry, and research institutionsAcross industries like finance, healthcare, marketing, and tech for data-driven decision making

Online Generative Ai Engineers focus on creating and optimizing AI models that generate content, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their primary functions differ in application and industry focus.

What job categories do people searching Online Generative Ai Engineer jobs in Spring, TX look for? The top searched job categories for Online Generative Ai Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Online Generative Ai Engineer jobs? Cities near Spring, TX with the most Online Generative Ai Engineer job openings:
Online Generative Ai Engineer jobs near you
Infographic showing various Online Generative Ai Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 62% Full Time, 34% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $103,107 per year, or $49.6 per hour.

Sr Gen AI Engineer

AMSYS Talent

Houston, TX • On-site

$99K - $137K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Senior Generative AI Engineer (Azure / RAG / LLM)
We're looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases from concept to production, working closely with product, business, and engineering teams.
This is not a research role-candidates must have real experience building and deploying LLM-based systems in production.
Key Responsibilities
  • Build backend services and APIs for AI-driven applications
  • Develop and integrate LLM solutions (Azure OpenAI / AI Foundry)
  • Design RAG pipelines (embeddings, vector search, retrieval systems)
  • Deploy scalable applications using Docker and Kubernetes (AKS)
  • Translate business use cases into production-ready solutions
  • Optimize performance, cost, and reliability of AI systems
  • Support monitoring and observability of deployed solutions
  • Contribute to agentic workflows and orchestration patterns
Required Skills
  • Strong Python (APIs, async, production systems)
  • Hands-on with LLMs/GenAI (Azure OpenAI, LangChain, Semantic Kernel)
  • Experience with RAG, embeddings, and vector databases
  • API frameworks (FastAPI or similar)
  • Docker + Kubernetes (AKS preferred)
  • Azure or similar cloud experience
  • Strong system design and production deployment experience
Nice to Have
  • Azure AI Search, Pinecone, or similar
  • Agentic AI / orchestration frameworks
  • React/TypeScript (basic UI work)
  • CI/CD and DevOps exposure
What We're Looking For
  • Proven experience shipping AI solutions (not just experimentation)
  • Ownership from prototype → production
  • Ability to work in fast-paced, client-driven environments
  • Strong communication across technical and business teams

Apply