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Senior Generative Ai Engineer Jobs in Forney, TX

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Northern Base

Generative AI Engineer

Irving, TX · On-site

Hiring Alert | Generative AI Engineer Location: Irving, TX (Onsite) Employment Type: Full-Time Experience Required: 6+ Years Visa Type: USC / GC Only Interview Mode: In-person (Final Round) Must-Have ...

Citi

Principal Generative AI Engineer, SVP

Irving, TX · On-site

... within the AI Automation Forward Deployed Engineering (FDE) team, part of Consumer Operations Technology division. In this senior role, you will set the technical direction for generative AI ...

JDA Software

Sr Staff AI Engineer

Dallas, TX · On-site

$132 - $190/hr

Role : Sr Staff AI Engineer Location : Dallas, TX ( Hybrid role - NO REMOTE) * Lead Architecture ... Strong hands-on experience designing and building AI/ML or Generative AI applications in production ...

CBRE

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$94K - $130K/yr

As a CBRE Senior AI Engineer, you will be instrumental in designing, building, deploying, and ... A primary focus of this role will be leveraging Generative AI and Agentic AI frameworks to automate ...

OmegaHires

AI Engineer

Irving, TX · On-site

AI Engineer - Python / Cloud / Generative AI **Location:** Irving, TX (Hybrid) ** ** We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications and agentic ...

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Senior Generative Ai Engineer information

See Forney, TX salary details

$53.6K

$114K

$165.3K

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

As of Sep 6, 2026, the average yearly pay for senior generative ai engineer in Forney, TX is $114,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,300.00 per year, depending on experience, location, and employer.

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

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

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What are popular job titles related to Senior Generative Ai Engineer jobs in Forney, TX?

For Senior Generative Ai Engineer jobs in Forney, TX, the most frequently searched job titles are:

What cities near Forney, TX are hiring for Senior Generative Ai Engineer jobs?

Cities near Forney, TX with the most Senior Generative Ai Engineer job openings:

Senior Generative Ai Engineer jobs near you
Infographic showing various Senior Generative Ai Engineer job openings in Forney, TX as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $114,010 per year, or $54.8 per hour.

Senior Generative AI Developer

Programmers.io

Irving, TX • On-site

$116K - $157K/yr

Full-time

Re-posted 26 days ago

Job description

Job Description:
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.

Key Responsibilities:
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.

Required Skills & Qualifications
8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications
Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.