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Generative Ai Jobs in Addison, TX (NOW HIRING)

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering Role Overview: Sr AI/ML Lead with around 15+ years of hands-on experience in developing and implementing ...

RAG,Python, Java, Agentic AI, LLMs, RAG, LangChain/LangGraph, Generative AI, AWS. We are seeking an experienced AI Engineer with strong expertise in Python, Java, Agentic AI, Large Language Models ...

New

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

This role offers the opportunity to work on cutting-edge AI initiatives, including Generative AI, Retrieval-Augmented Generation (RAG), LLM fine-tuning, and intelligent enterprise applications. Key ...

This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with ...

This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with ...

Showing results 41-60

Generative Ai information

What is a generative AI?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What does a generative AI specialist do?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

Can you get a job with generative AI?

A career in generative AI involves roles such as AI engineer, data scientist, or machine learning specialist, requiring skills in programming, deep learning, and neural networks. Job opportunities are available in tech companies, research labs, and startups, often requiring proficiency with tools like Python, TensorFlow, or PyTorch. Building a strong portfolio and obtaining relevant certifications can improve employment prospects in this rapidly growing field.

What are the key skills and qualifications needed to thrive in the generative AI position?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

Is generative AI a good career?

Generative AI is a rapidly growing field with increasing demand for skilled professionals in areas such as machine learning, data science, and software development. Careers in this area often require knowledge of programming languages like Python, experience with neural networks, and familiarity with AI frameworks such as TensorFlow or PyTorch. The field offers opportunities in research, development, and deployment across various industries, making it a promising career choice for those with relevant technical skills.
What cities near Addison, TX are hiring for Generative Ai jobs? Cities near Addison, TX with the most Generative Ai job openings:
Infographic showing various Generative Ai job openings in Addison, TX as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Senior Azure Generative AI Engineer - Local to Dallas, TX

CGI Inc.

Dallas, TX • On-site

$124K - $171K/yr

Full-time

Retirement, PTO

Re-posted 4 days ago


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

147th of 223 rated it services


Job description

Senior Azure Generative AI Engineer - Local to Dallas, TX
Category: Software Development/ Engineering
Main location: United States, Texas, Dallas
Position ID:J0726-0299
Employment Type: Full Time
Position Description:
This role will require someone in our client office five days a week in Dallas, TX.
We are seeking a Senior Azure Generative AI Engineer to design, develop, and deploy enterprise grade Generative AI solutions using Microsoft Azure. This role will focus on building scalable AI applications leveraging Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, Azure Cognitive Services, and modern data engineering practices. The successful candidate will work closely with business stakeholders, architects, and engineering teams to deliver AI powered solutions for enterprise and banking use cases.
Your future duties and responsibilities:
. Design, develop, and deploy enterprise Generative AI solutions using Microsoft Azure AI services.
. Build AI powered applications utilizing Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, and Azure Cognitive Services.
. Design and implement Retrieval Augmented Generation (RAG) solutions using Azure AI Search and vector databases.
. Develop scalable data ingestion, transformation, and preprocessing pipelines to support AI model training and inference.
. Fine tune, evaluate, and optimize Large Language Models (LLMs) for enterprise specific use cases.
. Collaborate with solution architects, data engineers, and business stakeholders to define AI solution architectures and implementation strategies.
. Integrate AI services into enterprise applications using REST APIs, Python, and Azure cloud services.
. Implement MLOps and LLMOps best practices for model deployment, monitoring, governance, and lifecycle management.
. Ensure AI solutions comply with enterprise security, responsible AI, and regulatory requirements, particularly within the banking and financial services domain.
. Troubleshoot production AI solutions and continuously improve model accuracy, performance, scalability, and cost optimization.
. Stay current with emerging Azure AI capabilities and recommend innovative approaches to improve business outcomes.
Required qualifications to be successful in this role:
. Minimum 6+ years of software engineering, data engineering, or AI/ML development experience.
. Minimum 3+ years of hands-on experience developing solutions on Microsoft Azure.
. Minimum 2+ years of hands-on experience building Generative AI or Large Language Model (LLM) applications.
. Experience delivering enterprise cloud solutions within regulated industries such as banking or financial services is highly preferred.
Technical Skills
. Strong experience with Azure OpenAI Service.
. Hands on experience with Azure AI Foundry (formerly Azure AI Studio).
. Experience with Azure Machine Learning and Azure Cognitive Services.
. Strong understanding of Retrieval Augmented Generation (RAG) architecture.
. Experience with vector databases such as Azure AI Search, Pinecone, Weaviate, or similar technologies.
. Strong Python programming skills.
. Experience with LangChain, LangGraph, Semantic Kernel, or similar GenAI orchestration frameworks.
. Experience with PyTorch, Hugging Face Transformers, or similar ML frameworks.
. Experience building scalable data pipelines using Azure Data Factory, Synapse, Microsoft Fabric, Databricks, or Spark.
. Understanding of prompt engineering, model evaluation, fine tuning, embeddings, and LLM optimization.
. Experience with CI/CD pipelines and MLOps/LLMOps practices.
. Familiarity with Git, Azure DevOps, and container technologies (Docker/Kubernetes) is preferred.
. Strong understanding of AI governance, responsible AI, and model security
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $69,700.00 $154,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
. Learning opportunities and tuition assistance
. Wellness and Well-being programs
#LI-GA1
Skills:
  • Agile
  • Communication
  • Data Engineering
  • Data Engineering
  • Generative AI
  • Microsoft Azure AI Solution
  • Python (Anaconda) AI/ML

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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