AI/ML Platform Engineer

You are seeking a Senior AI/ML OPS Engineer position at BNP Paribas, where you will be responsible for designing, industrializing, and operating agentic AI systems for IT Production. Your role will involve ensuring that AI-driven automation is secure, observable, reliable, and scalable in a real-world environment. Key Responsibilities: - Design, develop, and operate agentic AI systems using frameworks such as LangChain/LangGraph or equivalents - Implement reasoning, planning, decision, and orchestration logic for production automation - Integrate AI agents into CI/CD pipelines and ML/AI OPS processes - Connect AI agents to observability systems (Dynatrace, logs, metrics, traces) - Collaborate with cross-functional teams, including OPS, SRE, Architects, and AI experts - Participate in testing, validation, and gradual rollout of AI-driven use cases - Contribute to post-incident analysis, continuous improvement, and reliability engineering Qualifications Required: - Bachelor's or Master's degree in Engineering, Computer Science, Artificial Intelligence, Data Science, or equivalent - 7-12+ years of professional experience in IT Production, Operations, SRE, DevOps, or Platform Engineering, including senior responsibility scopes - Advanced Python development and API-based system integration - Experience with agentic AI frameworks (LangChain, LangGraph, LangSmith, or similar) - Strong understanding of production constraints, including availability, performance, security, and auditability - AI/ML OPS concepts, CI/CD, lifecycle management BNP Paribas is the European Union's leading bank with operations in 65 countries and nearly 185,000 employees. The Group has key positions in Commercial, Personal Banking & Services, Investment & Protection Services, and Corporate & Institutional Banking. You are seeking a Senior AI/ML OPS Engineer position at BNP Paribas, where you will be responsible for designing, industrializing, and operating agentic AI systems for IT Production. Your role will involve ensuring that AI-driven automation is secure, observable, reliable, and scalable in a real-world environment. Key Responsibilities: - Design, develop, and operate agentic AI systems using frameworks such as LangChain/LangGraph or equivalents - Implement reasoning, planning, decision, and orchestration logic for production automation - Integrate AI agents into CI/CD pipelines and ML/AI OPS processes - Connect AI agents to observability systems (Dynatrace, logs, metrics, traces) - Collaborate with cross-functional teams, including OPS, SRE, Architects, and AI experts - Participate in testing, validation, and gradual rollout of AI-driven use cases - Contribute to post-incident analysis, continuous improvement, and reliability engineering Qualifications Required: - Bachelor's or Master's degree in Engineering, Computer Science, Artificial Intelligence, Data Science, or equivalent - 7-12+ years of professional experience in IT Production, Operations, SRE, DevOps, or Platform Engineering, including senior responsibility scopes - Advanced Python development and API-based system integration - Experience with agentic AI frameworks (LangChain, LangGraph, LangSmith, or similar) - Strong understanding of production constraints, including availability, performance, security, and auditability - AI/ML OPS concepts, CI/CD, lifecycle management BNP Paribas is the European Union's leading bank with operations in 65 countries and nearly 185,000 employees. The Group has key positions in Commercial, Personal Banking & Services, Investment & Protection Services, and Corporate & Institutional Banking.