AI Engineer

2 weeks ago


Hyderabad, Telangana, India UBS Full time ₹ 10,00,000 - ₹ 20,00,000 per year

India

Information Technology (IT)

Group Functions

Job Reference #

325833BR

City

Hyderabad

Job Type

Full Time

Your role

Do you want to design and implement cutting-edge AI systems that can autonomously make decisions and execute tasks? Are you passionate about integrating advanced machine learning models with reasoning, planning, and interaction capabilities? Do you thrive in a collaborative environment where innovation and technical excellence are key?

We're looking for an AI Engineer to:

Design and implement intelligent systems using Agentic AI, capable of autonomous decision-making and task execution.

Develop and integrate advanced machine learning models, including large language models (LLMs), with reasoning and planning capabilities.

Build and optimize AI architectures, such as Retrieval-Augmented Generation (RAG), to enhance system performance and scalability.

Leverage Agentic AI libraries (e.g., LangChain, LangGraph, Autogen) to create robust and efficient AI solutions.

Work with vector databases to enable efficient storage and retrieval of embeddings for AI applications.

Develop and deploy solutions for computer vision and document processing tasks, ensuring high accuracy and reliability.

Collaborate with cross-functional teams to ensure alignment with business objectives and adherence to UBS's AI governance and compliance standards.

Conduct rigorous testing, monitoring, and optimization of AI systems to ensure performance, fairness, and explainability.

Your team

You'll be working in the Agentic AI Pod, part of the IB Digital Operations Stream, based in Hyderabad. Our team focuses on leveraging AI and advanced analytics to transform operational processes and deliver exceptional client experiences. As an AI Engineer, you'll play a critical role in building intelligent systems that drive innovation and efficiency at UBS.

Your expertise

  • strong programming skills in Python, with experience in developing and deploying AI/ML models.
  • expertise in large language models (LLMs), prompt engineering, and vector databases.
  • hands-on experience with RAG architecture and Agentic AI libraries such as LangChain, LangGraph, or Autogen.
  • proficiency in computer vision and document processing techniques.
  • familiarity with AI governance, risk management, and compliance frameworks.
  • ability to design and implement scalable, enterprise-grade AI solutions.
  • strong problem-solving skills and a passion for innovation in AI.
  • bachelor's or Master's degree in Computer Science, Engineering, or a related field.

About us

UBS is the world's largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

We have a presence in all major financial centers in more than 50 countries.

How we hire

We may request you to complete one or more assessments during the application process. Learn more

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.

We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Contact Details

UBS Business Solutions SA

UBS Recruiting

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.


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