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Apprentice Generative Ai Engineer Jobs in Texas (NOW HIRING)

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... This role offers hands-on experience building enterprise-grade Generative AI solutions across ...

Drive the roadmap for Generative AI use cases , ensuring scalability and real-world impact. Collaboration with Teams * Partner with transformation, engineering, and business teams to tailor AI agents ...

Generative AI Lead Engineer

Dallas, TX · On-site

$120 - $140/hr

About the role As a Generative AI Engineer , you will make an impact by designing and building advanced AI-powered applications and scalable solutions using modern technologies such as .NET, React ...

New

AI Engineer

Dallas, TX

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and ...

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and ...

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and ...

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 ...

They are seeking a GenAI Developer to drive the design and deployment of generative AI systems, collaborating with various teams to ensure solutions are reliable and compliant with governance ...

Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript)

Showing results 21-40

Apprentice Generative Ai Engineer information

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

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Texas? The most popular types of Generative Ai Engineer jobs in Texas are:
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Generative AI Engineer - Vice President (Dallas, TX)

Goldman Sachs, Inc.

Dallas, TX • On-site

Full-time

Re-posted 25 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 170 rated banks


Job description


What We Do:
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Who We Look For:
Goldman Sachs has a unique and differentiated set of data, including proprietary content, analytics, and research; leveraging these unique datasets and content will enable the firm to double down on its existing strengths and harness the power of Generative AI.
Goldman Sachs is seeking Generative AI Engineer to join our dynamic GenAI and DocAI organization. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge Generative AI technologies at the firm interacting directly with our business.
In this role, you will have the opportunity to contribute to various Generative AI domains, including boosting developer productivity with Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs for information retrieval.
As an AI Scientist, you will help address the unique challenges that arise in generative AI systems within the financial domain and contribute to the development of Goldman's AI Assistant to empower our business.
Your responsibilities will include:
  • Collaborating effectively with colleagues to build an AI enabled platform for Document Digitization.
  • Conceptualizing, experimenting with, and assessing AI-based software systems.
  • Developing, testing, and maintaining high-quality, production-ready code.
  • Demonstrating technical leadership by taking charge of cross-team projects.
  • Developing and deploying services in cloud native environment.
  • Contributing to boost developer productivity with Generative AI.

Required Qualifications:
  • A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
  • A minimum of 5 years of experience in the industry that demonstrates your expertise.
  • Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
  • Proficiency in contemporary programming languages like Python, C++, or Java.

ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

What Goldman Sachs employees say

Pay

Benefits

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Workplace

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Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869