Engineering Division - AI Engineering & Science - Software Engineering - Vice President - Bengaluru/Hyderabad
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.
As an AI Innovation Acceleration Specialist, you will be instrumental in identifying, developing, and deploying end-to-end AI/Machine Learning solutions that drive tangible business value; you will work in a fast-paced environment, leveraging your expertise to translate complex business challenges and customer needs into actionable AI architectures and technical specifications, and then implement and deliver these systems.
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
The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.
Skills Required
- Experience building massively scalable software and systems
- Ability to architect low-latency infrastructure solutions
- Experience leveraging machine learning alongside financial engineering
- Familiarity with cybersecurity best practices for production systems
- Ability to operate effectively in a fast-paced, global engineering organization
Goldman Sachs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.
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Healthcare Strength — Coverage includes medical, dental, vision, disability, life and accident insurance, with multiple plan options and most premiums subsidized; coverage often starts on day one. Wellness resources, on-site health centers in some locations, and EAP access reinforce the depth of health support.
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Parental & Family Support — Family care includes on-site childcare in some offices, expectant parent resources, and transitional programs for returning parents. Feedback suggests parental leave is very generous, with reports of around 20 weeks paid leave and stipends for adoption, surrogacy, and fertility-related services.
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Retirement Support — The firm provides a 401(k) plan with employer matching contributions and broad financial education to help employees plan for retirement. Resources also support saving for education and preparing for unexpected events.
Goldman Sachs Insights
What We Do
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com
