AI Acceleration Engineer, Engineering, Associate, Dallas | Dallas, TX, USA

Goldman Sachs, Inc.; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Goldman Sachs is seeking an AI Acceleration Engineer (Associate) in Dallas to prototype and deploy cutting-edge AI/ML solutions that address critical business needs. You will own end-to-end development from ideation to deployment, collaborating with business and engineering teams to translate requirements into scalable architectures.

This hands-on role emphasizes knowledge transfer, documentation, and mentorship, focusing on rapid experimentation, LLMs, RAG, and integration within the Goldman

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field.
• 5 years of hands-on AI/ML development experience delivering end-to-end AI solutions.
• Experience building and deploying end-to-end AI apps using LLMs and related frameworks (prompt engineering, fine-tuning, RAG).
• Strong Python proficiency and AI/ML framework experience (TensorFlow, PyTorch).
• Ability to translate complex business needs into technical architectures and concrete implementations.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps for deployment & management.
• Excellent communication and collaboration across all organizational levels.
• Proven ability to lead or contribute to cross-functional projects.

Responsibilities

• Lead end-to-end development of AI/ML models and applications from ideation to deployment.
• Collaborate with business and engineering teams to translate requirements into architectures.
• Architect, implement, and deliver scalable AI solutions within GS ecosystem.
• Promote knowledge transfer via documentation, training, and mentorship.
• Stay current with AI advancements and evaluate new tools and practices.

Skills

Python

LLMs

Prompt engineering

RAG

Agentic frameworks

TensorFlow

PyTorch

AWS

Azure

GCP

MLOps

Communication

Team leadership

Education

Bachelor's/Master's in CS/DS

Tools

TensorFlow

PyTorch

RAG tools

Job description

AI Acceleration Engineer, Engineering, Associate, Dallas Job Description Summary The agile AI Innovation Acceleration team will operate with the speed and spirit of a startup, focused on rapidly prototyping and building cutting-edge AI use cases that directly address the critical needs of our businesses. The primary goal of this team is to demonstrate the transformative potential of AI within the firm, rapidly deliver impactful solutions, and then seamlessly transfer the code, knowledge, and ownership to the respective business and engineering teams. This hands‑on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs and fostering a culture of innovation and accelerated development.

Key Responsibilities

• Rapid Prototyping & End-to-End Development: Lead the end-to-end development of AI/ML models and applications, from ideation and data exploration to rapid prototyping and initial deployment.
• Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their challenges and customer needs, identify high-impact AI use cases, and translate business requirements into robust technical specifications and solution architectures.
• Solution Implementation & Delivery: Architect, implement, and deliver scalable, robust, and maintainable AI solutions based on defined technical specifications and architectures, ensuring seamless integration with existing systems and workflows within the Goldman Sachs ecosystem.
• Knowledge Transfer & Enablement: Facilitate effective knowledge transfer through comprehensive documentation, training sessions, mentorship, and pair-programming, empowering receiving teams to take ownership and continue the development of AI solutions.
• Technology & Innovation Leadership: Stay abreast of the latest advancements in AI, machine learning, and relevant technologies, continuously evaluating and recommending new tools, techniques, and best practices to drive innovation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field.
• 5 years of hands‑on experience in AI/ML development, with a proven track record of delivering end‑to‑end AI solutions in a professional setting.
• Demonstrated experience building and deploying end‑to‑end AI applications, particularly those leveraging LLMs and related frameworks. This includes experience with prompt engineering, fine‑tuning, Retrieval Augmented Generation (RAG), and agentic frameworks.
• Strong proficiency in programming languages such as Python, along with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Proven ability to translate complex business requirements and customer needs into well‑defined technical architectures and specifications, and to subsequently implement and deliver robust systems based on these designs.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for model deployment and management.
• Excellent communication capabilities, with the ability to articulate complex technical concepts to both technical and non‑technical stakeholders across all levels of the organization.
• Strong collaboration and interpersonal skills, with a passion for mentoring and enabling others.
• Proven ability to lead or significantly contribute to cross‑functional projects.

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.