Job description

Verified Job On Employer Career Site Job Summary: Goldman Sachs is seeking an AI Acceleration Engineer to join their agile AI Innovation Acceleration team, which focuses on rapidly prototyping and building AI solutions that address business needs. This role involves developing end-to-end AI/Machine Learning solutions and collaborating with various teams to deliver impactful results while fostering a culture of innovation. Responsibilities: • Lead the end-to-end development of AI/ML models and applications, from ideation and data exploration to rapid prototyping and initial deployment. • 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. • 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. • 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. • 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: Required: • 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. Company: Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services. Founded in 1869, the company is headquartered in New York, New York, USA, with a team of 10001+ employees. The company is currently Public Company. Goldman Sachs has a track record of offering H1B sponsorships.

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