If you’re looking to work on cutting-edge AI in the fintech space, the Barclays GenAI Engineer role in Pune is a high-impact opportunity for professionals with 2–5 years of experience.
This role focuses on building Generative AI (GenAI) solutions, including LLMs, RAG pipelines, and AI-powered automation systems, making it ideal for engineers interested in next-gen AI applications.
Apply NowAbout Barclays GenAI Engineer Role
Barclays is a leading global financial institution actively investing in AI-driven digital transformation.
As a GenAI Engineer, you’ll be part of the Global Payment Services technology team, working on intelligent systems that improve:
- Data accessibility
- Decision-making
- Operational efficiency
This role blends AI, data engineering, and scalable system design, especially within enterprise-level fintech applications.
What Does a GenAI Engineer at Barclays Do?
In simple terms, your role is to design and build AI-powered systems using large language models and enterprise data.
Core Responsibilities
- Design and develop Generative AI solutions, including:
- RAG (Retrieval-Augmented Generation) pipelines
- Prompt engineering workflows
- Integrate Large Language Models (LLMs) with:
- Enterprise databases
- APIs
- Internal systems
Data Engineering & Infrastructure
- Build and manage:
- Data pipelines
- Data lakes
- Data warehouses
- Ensure:
- Data quality
- Governance
- Compliance
AI Development & Deployment
- Develop algorithms for:
- Data processing
- Analysis
- Synthetic data generation
- Deploy and monitor ML models in production environments
- Optimize performance, scalability, and latency
Security & Collaboration
- Implement secure and scalable AI systems
- Apply data protection practices like:
- Data masking
- Anonymization
- Work with cross-functional teams:
- Data scientists
- Engineers
- Stakeholders
Skills Required for Barclays GenAI Engineer
To succeed in this role, you need a strong mix of AI, programming, and system design skills.
Educational Qualification
- Bachelor’s degree in:
- Computer Science
- Engineering
- Related fields
Technical Skills
- Strong experience with:
- Generative AI and LLMs
- Prompt engineering
- RAG pipelines
- Proficiency in Python
- Good understanding of:
- Databases (SQL, Oracle)
- Unix-based systems
Advanced Skills (Preferred)
- Experience with:
- API and SDK integration
- Embeddings and model fine-tuning
- Synthetic data generation
- Knowledge of:
- Data modeling and schema design
- Data governance (masking, anonymization)
- Familiarity with:
- Cloud platforms
- CI/CD pipelines
- Git workflows
Soft Skills
- Strong analytical thinking
- Problem-solving ability
- Effective communication skills
Salary for GenAI Engineer at Barclays
The expected salary range is:
👉 ₹15 LPA to ₹30 LPA
Salary depends on:
- Experience (2–5 years)
- Expertise in AI/ML and GenAI systems
- Hands-on experience with production systems
Additional benefits include:
- Performance bonuses
- Enterprise-level project exposure
- Career growth in fintech and AI
Why This Role is High-Demand in 2026
GenAI roles are among the most sought-after positions today. Here’s why this one stands out:
- Work on real-world AI systems in fintech
- Build scalable solutions using LLMs and RAG architectures
- Gain exposure to enterprise-grade AI deployment
- Strong demand for GenAI engineers globally
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FAQs – Barclays GenAI Engineer Role
1. What does a GenAI Engineer at Barclays do?
They build AI systems using Large Language Models, create RAG pipelines, and develop intelligent automation solutions for financial services.
2. Is this role suitable for freshers?
No, this role requires 2–5 years of experience in AI/ML, data engineering, or software development.
3. What are RAG pipelines?
RAG (Retrieval-Augmented Generation) combines data retrieval with LLMs to generate accurate and context-aware responses.
4. What programming language is required?
Python is the primary language used for building GenAI and data pipelines.
Apply Now