Generative AI Engineer

Business Overview

The AI Platform is BNP Paribas CIB's Center of Excellence in AI/Machine Learning, responsible for spearheading the bank's AI transformation initiatives. This department delivers a wide array of AI Services, blending traditional system development with cutting-edge technologies such as Large Language Models (LLM) and high-power Graphics Processing Units (GPU). As part of the CIO Office, the team works in a stimulating environment to build traditional IT applications that leverage Generative AI Services, helping internal clients achieve their AI ambitions through technical and engineering excellence.

Job Responsibilities

• Act as an Artificial Intelligence (AI) Platform lead within the global generative AI team (collaborating across London, Paris, and Lisbon) to build scalable, production-grade systems.
• Engage in the full agile-based software development lifecycle, including technical analysis, documentation, development, testing, and code reviews.
• Support the Generative AI platform service to ensure high availability and continuous improvement regarding new language models, techniques, and use cases.
• Work closely with infrastructure teams to deploy and optimize services.
• Proactively manage technical, functional, and organizational challenges facing the team.
• Liaise with stakeholders to act as a bridging point and manage the coordination required in a dynamic organizational environment.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s or Master’s degree in Information Technology, Computer Science, or a related field from a top-tier institution.
• 8+ years of Python experience with a combination of 3 years in Java/C++ and 5+ years in Python.
• Deep understanding of Data Structures, Algorithms, and Time/Space Complexity (Big-O).
• Proficiency in Concurrency and Parallel Processing (Multithreading, Multiprocessing, Async Programming).
• Ability to solve complex engineering problems involving nested data structures and large-scale data processing.
• Experience designing and building secure, scalable, enterprise-grade RESTful APIs.
• Strong understanding of API lifecycle management, versioning, authentication, authorization, and security best practices.
• Knowledge of performance optimization (caching, asynchronous processing, load management, and resilience patterns).
• Strong understanding of LLM fundamentals (Transformers, Attention Mechanisms, Embeddings, BERT, GPT, and modern foundation model architectures).
• Ability to architect enterprise-scale AI platforms with governance, observability, security, and banking-grade operational controls.
• Ability to design LLM orchestration frameworks using LangGraph (or Google ADK/CrewAI), LangChain, and agent workflows.
• Experience deploying and optimizing inference platforms using technologies such as vLLM, TensorRT, or KV caching.
• Strong initiative and the ability to adapt to dynamic technical and organizational circumstances.
• Results-oriented mindset with an understanding of business impact.
• Ability to operate effectively within complex and diverse IT environments.

Preferred Qualifications, Capabilities, and Skills

• Frameworks: Proficiency with FastAPI or Flask.
• Orchestration: Experience with LlamaIndex.
• Advanced AI Implementation: Design and implementation of enterprise Retrieval-Augmented Generation (RAG) systems.
• Deep understanding of search technologies and retrieval trade-offs (e.g., HNSW, BM25).
• Familiarity with Redis, Kafka, containers, and cloud-native deployment patterns.

About BNP Paribas India Solutions: Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, the European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai, and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines—Corporate and Institutional Banking, Investment Solutions, and Retail Banking—for BNP Paribas across the Group. Driving innovation and growth, we harness the potential of over 10,000 employees to provide support and develop best-in-class solutions.