India Quantum computing Jobs – 89 Open Jobs Today

Asset & Wealth Management - PWM Data Engineering - Analyst - Hyderabad
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Assistant Professor, Associate Professor & Professor – CSE Department
Amrita University —Chennai, Tamil Nadu
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Scientist (QM applications for Catalysis & Materials)
Aganitha AI —Hyderabad, Telangana
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Eurth Techtronics —Hyderabad, Telangana
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Business Development Manager – Embedded & Product Engineering Services
Eurth Techtronics —Hyderabad, Telangana
- Online application
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Customer Success Manager - APJ (Hybrid, Bangalore)
Fortanix —Bengaluru, Karnataka
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Quick apply
Technology Trading Engineering Lead- Vice President
State Street —Bengaluru, Karnataka
- Full-time
- Azure
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- Master's degree
Senior Software Engineer (Endpoint security-Windows) IND
Fortanix —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- Windows
- Java
Quick apply
Senior Backend Engineer (Go + Rust)
Svitla Systems —Nowshera Murai, Uttar Pradesh
- Full-time
- C++
- Computer networking
- Linux
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- Paid sick time
Full Stack Engineer
Accenture —Hyderabad, Telangana
- Full-time
- Azure
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IT-OT Pre-Sales & Solution Manager
Eurth Techtronics —Hyderabad, Telangana
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Professor – Computer Science & Engineering (CSE)
Woxsen University —Hyderabad, Telangana
- Doctoral degree
- Computer Science
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22h
Senior Solutions Architect - Generative AI
NVIDIA —Pune, Maharashtra
- Full-time
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Associate Professor – Computer Science & Engineering (CSE)
Woxsen University —Hyderabad, Telangana
- Doctoral degree
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Principal Product Manager
Teradata —Bengaluru, Karnataka
- Full-time
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- Master's degree
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Cyber Security Architect
Garrett Advancing Motion —Madurai, Tamil Nadu
- Full-time
- Oracle
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Asset & Wealth Management - PWM Data Engineering - Analyst - Hyderabad

Goldman Sachs -
Hyderabad, Telangana

Apply Now

Job details

Benefits

Health insurance

Qualifications

CI/CD
Azure
MCP
iOS development
Data structures
iOS
Git
Java
AWS
Docker
Machine learning
Continuous integration
REST
APIs
Web services
JSON
AI
AWS Certified Cloud Practitioner – Foundational
Python

Full 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.

In Private Wealth Management, we help our clients pursue their wealth management goals through careful advice & astute investment management. PWM Engineering plays a pivotal role in building the tools and applications our business needs to effectively manage and support our client’s diverse requirements. We support the entire user experience starting with onboarding through to trading, reporting, as well as providing clients access to their portfolios online via native iOS and Android apps. We also build and support numerous applications for our Business and Operations users to help them effectively manage risk and provide the best white-glove service possible to our clients.

The Data Distribution team supports PWM's Quantum data distribution platform which is considered the primary source of data relating to Client Holdings, Transactions, Taxlots and reference data like Accounts, Products and Prices in PWM. Several teams/projects requires this data and our team has built several distribution channels for different usage patterns.

We are currently enhancing our platform based on new business requirements as well as increasing stability and scalability needs to support a growing business. The platform will be required to manage very high volumes of requests with varying time sensitivities and prioritising across multiple tenants via an event based framework.

Your Impact

We are seeking a motivated and technically curious Junior Cloud & AI Agent Analyst (1–3 years of experience) to join our Data Engineering team. In this role, you will support the development and operationalization of autonomous AI agents and the infrastructure that connects them to our enterprise data. You will work at the intersection of Generative AI and Cloud Computing, helping to build systems that don't just "chat," but actually execute tasks.

Key Responsibilities

Agent Implementation: Assist in building and deploying AI agents using frameworks such as LangChain, CrewAI, or LangGraph. You will help configure agent roles, goals, and "backstories" to ensure reliable task execution.
Cloud Deployment: Support the deployment of agentic and other workloads on AWS, Azure, or GCP. This includes working with containerized environments (Docker) and serverless functions to host agent logic and MCP integrations.
Prompt & Tool Engineering: Craft and refine prompt templates and tool definitions. You will work to ensure that agents understand when and how to call specific tools via MCP to retrieve real-time data.
Testing & Evaluation: Participate in the "LLMOps" lifecycle by testing agent trajectories. You will use tools like LangSmith or Arize Phoenix to identify where agents fail, hallucinate, or enter infinite loops, and suggest fixes.
Data Integration: Assist in managing Vector Databases (e.g., Pinecone, Weaviate) and RAG (Retrieval-Augmented Generation) pipelines that provide agents with long-term memory and domain-specific knowledge.
Security & Monitoring: Monitor agent activity for "runaway" costs or unauthorized tool usage. You will help implement basic guardrails and "human-in-the-loop" checkpoints for sensitive agent actions.
Documentation: Maintain clear documentation for MCP server schemas and agent workflows to ensure the team can scale and troubleshoot the agentic ecosystem effectively.

Basic Qualifications

Experience: 1–3 years in a technical role such as Junior Developer, Data Analyst, or Cloud Support Engineer.
Programming Foundations: Proficiency in Python (preferred) or Java. Familiarity with asynchronous programming is a plus.
AI Interest: A foundational understanding of LLMs, prompt engineering, and the concept of "tool calling" or "function calling."
Cloud Basics: Basic experience with at least one major cloud provider (AWS, Azure, or GCP) and an understanding of how to deploy simple web services or APIs.
API Knowledge: Comfortable working with REST APIs and JSON data structures—essential for building MCP servers.
Problem Solving: A methodical approach to debugging non-deterministic systems and a high degree of adaptability in a rapidly changing tech landscape.

Preferred Qualifications

Familiarity with the Model Context Protocol (MCP) specification.
Experience with version control (Git) and basic CI/CD concepts.
Academic or project-based experience with Vector Stores or semantic search.
Relevant certifications (e.g., AWS Cloud Practitioner, Microsoft AI Fundamentals).

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!

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 TITLEAnalyst

OFFICE LOCATION(S)Hyderabad

JOB FUNCTIONSoftware Engineering

DIVISIONAsset & Wealth Management

Apply Now

Refine Your Search

quantum computing jobs in india

Asset & Wealth Management - PWM Data Engineering - Analyst - Hyderabad

Assistant Professor / Associate Professor (Computer Science/Computer Engineering)

Postdoctoral Fellowship at Chennai Campus - View Details

Senior Back End Engineer with SNMP and NETCONF

Scientist (Computational Chemistry / Structural Biology & Biomolecular Modeling)

Assistant Professor, Associate Professor & Professor – CSE Department

Scientist (QM applications for Catalysis & Materials)

Embedded Software Team Lead / Manager

Business Development Manager – Embedded & Product Engineering Services

Customer Success Manager - APJ (Hybrid, Bangalore)

Technology Trading Engineering Lead- Vice President

Senior Software Engineer (Endpoint security-Windows) IND

Senior Backend Engineer (Go + Rust)

Full Stack Engineer

IT-OT Pre-Sales & Solution Manager

Professor – Computer Science & Engineering (CSE)

Senior Solutions Architect - Generative AI

Associate Professor – Computer Science & Engineering (CSE)

Principal Product Manager

Cyber Security Architect

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