Asset & Wealth Management Wealth Ai Engineering Vice President Bengaluru

Year    KA, IN, India

Job Description

Who We Are





At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.



We are seeking a highly skilled GenAI Developer to join our dynamic, global team. The ideal candidate will have a strong background in applied generative AI. This role will involve developing and implementing AI solutions, working with various technologies, and collaborating with cross-functional teams to drive innovation. The GenAI Developer will play a crucial role in advancing our GenAI capabilities and contributing to the success of our Wealth Management division.




Key Responsibilities




Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research and experiments to improve AI capabilities within the division.

Required Competencies




Retrieval-Augmented Generation (RAG):

Experience in developing and implementing RAG models to enhance information retrieval and generation tasks.

Vector Stores:

Knowledge of Vector Stores for efficient data storage and retrieval.

Prompt Engineering:

Skills in designing and optimizing prompts for AI models to improve accuracy and relevance.

Large Language Model APIs (LLM APIs):

Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude).

Programming Languages:

Proficiency in Python, Java, or other relevant programming languages.

Data Analysis:

Strong analytical skills and experience with data analysis tools.

Problem-Solving:

Excellent problem-solving abilities and attention to detail.

Communication:

Strong verbal and written communication skills.

Preferred Competencies




Graph RAG:

Proficiency in using Graph RAG for complex data relationships and insights.

Knowledge Graphs:

Expertise in building and managing Knowledge Graphs to represent and query complex data structures.

Machine Learning Frameworks:

Experience with TensorFlow, PyTorch, or similar frameworks. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with natural language processing (NLP) and computer vision technologies. Previous experience in a similar role or industry. Master's or Ph.D. in Computer Science, Data Science, or a related field. Years of experience: 6-10



Goldman Sachs Engineering Culture





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 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!





The Goldman Sachs Group, Inc., 2025. All rights reserved.



Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

We Offer Best-In-Class Benefits


Healthcare & Medical Insurance
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.


Holiday & Vacation Policies
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.


Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities.


Health Services
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.


Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).


Child Care & Family Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.


Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.



Opportunity Overview
CORPORATE TITLE
Vice President
OFFICE LOCATION(S)
Bengaluru
JOB FUNCTION
Software Engineering
DIVISION
Asset & Wealth Management

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Job Detail

  • Job Id
    JD4479513
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    KA, IN, India
  • Education
    Not mentioned
  • Experience
    Year