Principal Engineer, AI Engineering
Core
Senior technical authority defining architecture, design, and delivery patterns for secure, resilient, and governed agentic AI systems in Corporate and Investment Banking.
Role type
Principal Engineer, AI Engineering (Agentic AI & Architecture)
Builds
Enterprise-grade AI systems including RAG platforms, agentic workflows, chat experiences, orchestration layers, evaluation pipelines, and reusable AI services.
Domain
Financial Services (Corporate & Investment Banking) + Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
AI engineering strategy, agentic workflows, LLMs, RAG, model orchestration, Python, TypeScript, React, distributed high-performance systems, cybersecurity controls, data privacy, model risk management, governance, compliance
Preferred skills
AI platform capabilities, reference architectures, internal developer frameworks, vector databases, embeddings, hybrid search, Elasticsearch, Redis, ChromaDB, high-availability banking applications
Technologies
OpenAI, Anthropic, Google Vertex AI, GitHub Copilot, OpenShift, Kubernetes, MCP, APIs
Responsibilities
Define target-state architecture and reusable design patterns for AI systems; Guide architecture decisions across model integration, retrieval, orchestration, and security; Lead proof-of-concepts, design reviews, and technical deep dives; Ensure AI systems meet security, data protection, and regulatory expectations; Mentor senior engineers and engineering leads; Resolve complex technical challenges in AI pipelines and production operations.
Seniority
Principal, hands-on IC with strategic leadership