AI Engineering Lead
Core
Architecting and implementing complex AI systems, data integration, and scalable cloud infrastructure to drive business outcomes and deliver client experiences.
Role type
Senior AI Engineering Lead (System Architecture & ML Ops)
Builds
Production-grade AI applications, data integration pipelines, and scalable cloud services for investment management.
Domain
Financial Services / Artificial Intelligence / Cloud Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
System architecture, Python, Java/TypeScript, REST APIs, CI/CD, LLMs (prompt engineering, embeddings, RAG), Vector databases, AWS/Azure/GCP, Docker/Kubernetes, Responsible AI governance, Model risk management, Database optimization, Distributed systems design
Preferred skills
GenAI integration, Fine-tuning foundation models, Agent-style workflows, Observability (logging, metrics, tracing), Cross-functional stakeholder management
Technologies
Python, Java, TypeScript, PyTorch, TensorFlow, AWS, Azure, GCP, Docker, Kubernetes, Git, CI/CD pipelines
Responsibilities
Design and implement complex data integration flows across distributed services and APIs; Drive performance and scalability enhancements by optimizing database architecture and implementing high-efficiency design patterns; Architect and guide integration of complex data flows to enable reliable, secure, and seamless enterprise-level interoperability; Provide subject matter expertise in software development methodology and architecture standards while mentoring staff; Ensure viability of IT deliverables through testing, security verification, and vendor selection; Translate ambiguous business problems into technical solutions and partner with product, design, legal, and compliance stakeholders.
Seniority
Senior, hands-on IC with leadership responsibilities
