Job Title: AI Engineer – AI for IT
Department: Wealth Management IT – Credit, Finance & Compliance and AI Solutions
About Business line/Function: The AI Solutions division within Wealth Management IT drives the adoption of artificial intelligence across BNP Paribas Wealth Management. The AI for IT squad focuses specifically on leveraging Generative AI to increase the productivity and efficiency of IT teams. This includes developing AI-powered tools for code generation, test automation, documentation, intelligent workflows and IT process optimization. The squad's ambition is to transform how IT staff work by embedding AI into their daily tools and processes over the next 3 years. The team operates in an Agile environment across multiple geographies (Singapore, India, Switzerland, Paris…).
Position Purpose: We are looking for a passionate and hands-on AI Engineer to join the AI for IT squad in Chennai. The primary mission is to design, develop and integrate Generative AI solutions that directly improve the productivity of IT staff across Wealth Management IT. This includes building AI-powered assistants, code generation tools, intelligent automation workflows and AI-enhanced IT processes. The role sits at the intersection of AI engineering and IT delivery — the engineer will work closely with IT teams to understand their pain points and translate them into practical, production-grade AI solutions. The ideal candidate is a skilled engineer with solid GenAI knowledge and a genuine passion for emerging technologies. We are not looking for a pure researcher — we need someone who can build concrete AI tools that IT teams actually use every day. Prior experience deploying AI solutions in an enterprise environment is a strong differentiator.
Responsibilities
Direct Responsibilities
· Design, develop and deploy Generative AI solutions (AI assistants, code generation tools, intelligent automation) that increase IT staff productivity
· Collaborate with IT teams across the domain to identify high-impact use cases where AI can streamline development, testing, documentation or operations
· Build AI agent architectures tailored to IT workflows, including agent orchestration and inter-agent communication protocols (e.g. Model Context Protocol – MCP)
· Develop full-stack components supporting AI solutions: backend services (Python – mandatory), frontend interfaces (React or Angular – optional), and API layers
· Work closely with the Product Owner and domain experts to translate IT pain points and requirements into technical specifications and actionable user stories
· Leverage the GenAI Platform squad's shared services, APIs and components to build solutions efficiently while providing feedback for platform improvements
· Implement and maintain CI/CD pipelines for AI solution deployment, ensuring quality, reproducibility and traceability
· Design and manage containerized environments (Kubernetes/Docker) for AI workloads in the bank's private cloud infrastructure
· Ensure all solutions comply with the bank's security, data privacy and governance standards, particularly around sensitive data handling and regulatory constraints
· Conduct proof-of-concepts (PoCs) and prototyping to evaluate emerging AI tools and frameworks for potential adoption in IT use cases
Contributing Responsibilities
· Provide feedback to the GenAI Platform squad on shared services, APIs and components to drive platform improvements
· Participate in knowledge sharing, internal tech talks and communities of practice around GenAI, IT automation and emerging technologies
· Contribute to the technical evaluation of third-party AI tools and vendor solutions, providing recommendations to the Division Head
· Mentor and support junior team members on AI engineering best practices and coding standards
· Collaborate with other IT squads to identify cross-domain AI use cases and integration opportunities
· Support the preparation of governance documentation (Technical Design Documents, Architecture Decision Records) required for solution deployment
· Support the squad Scrum Master and Product Owner in backlog refinement, effort estimation and sprint planning from a technical perspective
Technical & Behavioral Competencies
The ideal candidate is a hands-on engineer with strong software development fundamentals and a solid understanding of Generative AI concepts and tooling. They should demonstrate genuine curiosity and passion for AI and new technologies, staying up to date with the rapidly evolving GenAI landscape. We value engineers who can bridge the gap between innovation and enterprise-grade delivery — someone comfortable working with cutting-edge AI frameworks while respecting the governance and security constraints of a global banking institution. Experience in deploying AI solutions in a corporate or enterprise environment is highly valued but not mandatory.
Specific Qualifications:
· 5+ years of overall software engineering experience
· At least 1 hands-on experience building or integrating a GenAI / AI-powered application in a professional context
· Strong proficiency in Python (mandatory) for backend development and AI solution implementation
· Working knowledge of RESTful API design, data modelling and system integration patterns
· Familiarity with Generative AI concepts: LLMs, prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, embeddings
· Understanding of AI agent architectures and inter-agent communication protocols (e.g. MCP – Model Context Protocol)
· Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines
· Experience with React or Angular for frontend development is a plus
· Previous experience deploying AI solutions in an enterprise / corporate environment is a strong differentiator
· Azure AI certifications (e.g. Azure AI Engineer Associate) are a plus
Skills Referential (Required knowledge, skills and abilities)
Technical Skills:
· Full-stack development with strong Python expertise and API design capabilities
· Hands-on experience with GenAI frameworks and tools (LangChain, LlamaIndex, Semantic Kernel, OpenAI API, Azure OpenAI or equivalent)
· Understanding of AI agent orchestration and communication protocols (MCP, function calling, tool use)
· Knowledge of data modelling, vector databases and RAG architectures
· Containerization and orchestration (Docker, Kubernetes) in enterprise environments
· CI/CD pipeline design and DevOps practices
· Familiarity with cloud platforms (Azure preferred) and private cloud banking infrastructure
· Understanding of IT workflows, software development lifecycle and DevOps practices — ability to identify where AI adds the most value
· Experience building developer-facing tools (CLI tools, IDE plugins, chatbots, automation scripts) is a plus
Behavioral Skills:
· Genuine passion and intellectual curiosity for AI, Generative AI and emerging technologies
· Strong problem-solving and analytical skills with a solution-oriented mindset
· Clear and effective communication skills, able to articulate complex technical concepts to non-technical stakeholders
· Ability to collaborate and work effectively in a distributed, multi-cultural team environment
· Attention to detail and rigor, particularly around code quality, testing and documentation
· Proactive and autonomous, able to drive initiatives with minimal supervision while respecting governance frameworks
Education Level: Master's Degree in Computer Science, AI, Data Science, Engineering or related field (mandatory)
Experience Level: At least 5 years overall experience
Location: Chennai, India
About BNP Paribas Group:
BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability.
About BNP Paribas India Solutions:
Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, 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 are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.
Commitment to Diversity and Inclusion
At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.
