AI Engineer - Assistant Manager

Job description

**Job Title: TWIN Log – AI Engineer** **Department** : STA India **About Business Line/Function** The BNP Paribas Group's IT department (IT GROUP) aims to ensure the overall consistency of the Information System (IS) with the Group's strategic objectives, while improving the management and control of operational risks. **Role** The role of IT includes, among other things, providing an enhanced customer experience, accelerating digitalization, and optimizing operational efficiency. Thus, IT GROUP has modernized the Information Systems by deploying digital levers to support the digitalization of the Group's Businesses and Functions: - The delivery of digital levers (Cloud, API, Data, Digital Working, Tech watch) is effective, and the IT Market Place enables their deployment on a Group-wide scale, - The security of the IT environment is evolving with a focus on cybersecurity risks and IT resilience to meet increasingly stringent regulatory requirements, - The robustness of the Information Systems is improving with the implementation of standardized operational methods, - Human capital remains at the center of our priorities, - Operational efficiency is growing with a focus on process automation and industrialization, - All these advances contribute to the Group's ambition to reduce its environmental footprint. Thanks to these solid foundations, a new phase of the IT strategy is opening up, enabling the Group to address a dual challenge: accelerating the adoption of innovative solutions around data and Artificial Intelligence (AI), and ensuring the interoperability and security of Information Systems. To Meet These Challenges, IT GROUP Is Adapting Its Organization And Remaining In Line With That Of The Bank. This Evolution Is Based On Five Main Levers - Technological innovation through data and AI: ensuring excellence in innovation through research and development of skills, relying on specific governance. This involves structuring technical foundations to the state of the art in order to accelerate experimentation, the construction of innovative solutions, and their adoption on a large scale by the Business and Functions, - Cybersecurity: continuing to protect the Bank and its customers in terms of Cybersecurity and Cyber Fraud, in line with regulatory requirements, - Infrastructure and Production: creating synergies, accelerating industrialization, emphasizing interoperability, and improving the resilience of Information Systems, while controlling risks, - Payment and Card Services: meeting the challenges of the industry by ensuring optimal alignment and end-to-end execution of strategic programs among all Group stakeholders, - Operational excellence: gaining efficiency, particularly in financial terms, to continue optimizing expenses. **Position Purpose** The main responsibility of Stability & Resilience division is to support the IT strategy & Production and gathers activities contributing directly to the stability and integrity of the Production and to the Information System’s resilience. Within the division, the domain Global Monitoring & Log Analytics oversees Global Production Observability Systems and provides platforms and services around Elasticsearch, Splunk and Dynatrace technologies. **This Domain Includes The Following Key Services** - Global Monitoring, providing Dynatrace services - Splunk (decommissioning by and of the year) - Logs As a Service, providing log management platform “as a service” based on Elastic stack (Elasticsearch, Kibana, Fleet, Elastic Agent, Logstash, Ingest pipelines) and Kafka technology. - Elastic As a Service, providing - Elasticsearch (+Kibana) dedicated specific clusters for some applications on its servers - Elasticsearch dedicated standard clusters on dMZR (based on an IBM Cloud product) - CyberSOC central data platform (Databus based on Kafka+Logstash, and DAP based on Elasticsearch) - AI subjects around Observability solutions, mostly Global Monitoring & Logs as a Service Leveraging BNP Paribas Paris teams’ expertise and ISPL IT skills, the goal is to enable applications flawless production by providing secure and stable environments and by ensuring that all actions on production environments are done in a controlled manner. The AI Engineer will be integrated closely in the STA43 that is working on this project: - Within the Operations (Production) Department, the project aims to optimize MTTR (Mean Time To Repair) by automating incident analysis. - The objective is to drastically reduce the time required to identify root causes (Root Cause Analysis – RCA) by leveraging observability data through Artificial Intelligence and Machine Learning technologies. **Responsibilities** Direct Responsibilities - Integrated into the “Observability” stream, will work in close collaboration with the “Core AI” team, which is responsible for the agent-based platform. - Development of specialized intelligent agents for technical diagnostics, leveraging the LangChain and LangGraph frameworks. - Design and deployment of automated anomaly detection jobs to identify behavioral drifts across systems. - Data exploitation and correlation: ingestion and analysis of logs via Elasticsearch, and performance/APM metrics via Dynatrace. - Industrialization of LLM-based models for RCA, transforming raw observability data into actionable diagnostics. Contributing Responsibilities - Work on dedicated subjects in line with stream’s leader, and work with other ISPL experts dedicated to the same subjects (AIOPs Experts) to deliver complete solutions. **Technical & Behavioral Competencies** - Python (Expert level required) - Observability basics about Elasticsearch (Log Management), Dynatrace (Monitoring / APM) - AI / LLM knowledge : LangChain, LangGraph, Machine Learning (Anomaly Detection) - Methodology: Continuous integration within a constrained banking production environmen - Ability to measure and i