Engineering-Bengaluru-Analyst-Software Engineering Full Time

About Company :

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.

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.

Job Description :

Software Engineers combine technology and creative problem-solving skills to design and build a wide range of applications from games to word processors that serve our personal needs as well as those of business and industry. As society becomes even more dependent on computers, the demand for skilled programmers continues to grow with no sign of slowing down.

Software Engineers design new programs and improve existing ones by analysing user requirements; studying functions and processes to help ensure software meets user needs, specifying, designing and testing the program.

Roles and Responsibilities :

• Design, develop, and implement advanced AI and GenAI solutions to address complex challenges in Risk, Controllers, Legal, and other domains.
• Collaborate with stakeholders from various divisions to identify and prioritize AI applications that can drive operational efficiency and process improvements.
• Leverage state-of-the-art GenAI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and other advanced methodologies, to develop robust AI models and solutions.
• Partner with business leaders and classic business teams to understand their needs and integrate AI solutions seamlessly into their workflows.
• Work closely with Goldman Sachs Engineering teams to leverage their technical solutions and infrastructure, ensuring the successful deployment and scalability of AI applications.
• Continuously monitor and evaluate the performance of AI models, making necessary adjustments to optimize their effectiveness and accuracy.
• Stay abreast of the latest advancements in AI and GenAI technologies, and proactively identify opportunities to incorporate these innovations into our AI strategies.

Basic Qualifications

• Bachelor’s degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Proven commercial experience in designing, developing, and implementing AI and GenAI solutions, with a strong focus on practical applications and real-world impact.
• Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), AI agents, and other advanced AI methodologies.
• Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions.
• Excellent collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
• A proactive and innovative mindset, with a passion for staying at the forefront of AI and GenAI advancements and applying them to solve business challenges.
• Strong programming skills in languages commonly used in AI development, most importantly Python.
• Familiarity with AI and machine learning frameworks and tools, such as TensorFlow, PyTorch, or similar, is desirable.