Lead AI Engineer

• Serve as the technical anchor for the development of enterprise-grade, AI-powered solutions, guiding the implementation from a technical perspective
• Lead the hands-on implementation of novel AI solutions, particularly in autonomous agents and advanced agentic architectures (e.g., using Google ADK)
• Architect and implement advanced frameworks for AgentOps and agentic AI governance, including evaluation suites, post-production observability, and traceability mechanisms
• Partner with product leadership to shape the AI product strategy and technical roadmap
• Technically lead the reimagination of core business processes by designing and implementing novel AI-driven solutions
• Collaborate cross-functionally with Technology, Model Risk Management (MRM), Legal, Compliance, and Business teams to ensure solutions are robust, compliant, and aligned with enterprise goals
• Evangelize AI best practices across the organization
• Lead the evaluation and integration of emerging AI technologies

• 8–10 years of professional experience in software engineering, with a significant focus on building and deploying large-scale AI/ML systems
• Expertise in Python
• Proven experience architecting and building complex systems using agentic frameworks (e.g., Google ADK, LangChain, AutoGen)
• Deep expertise in context optimization, knowledge storage (vector databases, knowledge graphs), and Retrieval-Augmented Generation (RAG) at scale
• Strong architectural skills in designing complex, distributed systems and scalable backend APIs
• Expertise in defining and implementing evaluation strategies using platforms like LangFuse
• Bachelor's/University degree in Computer Science or a related field

• Experience building control and sandboxing systems for AI research
• Contributions to open-source AI or cloud-native projects
• Experience in the financial services industry
• Deep hands-on knowledge of Kubernetes
• Extensive experience with deep learning frameworks and MLOps principles
• Advanced certifications in Gen AI, Agentic AI, cloud architecture, Kubernetes, or machine learning
• Master's degree

Global benefits designed to support well-being, growth and work-life balance