Lead AI Engineer (Agent Development – CB Data and AI)

Requirements

• Several years of professional software engineering experience (distributed systems, APIs)
• Strong hands‑on programming skills (Python and/or Java preferred)
• Proven experience delivering AI/ML applications in production environments
• Deep understanding of LLMs, prompt engineering, RAG architectures, and agent design patterns
• Experience with Google Cloud Platform is required
• Strong knowledge of secure system design and enterprise data handling
• Practical experience with agentic AI frameworks including tool/function invocation, planning, state management, and guardrails (Google ADK, LangChain), MCP and A2A protocols, and deployment on Vertex AI

What the job involves

• As a Lead AI Engineer (f/m/x) at Deutsche Bank, you will design, build, and operate production‑grade AI agents on the firm’s centralized AI platform
• You will own end‑to‑end delivery of agent‑based solutions—from use‑case design through production deployment—while ensuring compliance with regulatory, security, and audit requirements
• The role is hands‑on and delivery‑focused, working closely with platform, data, risk, and business teams
• Design and implement AI agents executing complex, multi‑step workflows using LLMs, including RAG, tool orchestration, validation, and guardrails
• Deploy and operate agents on Deutsche Bank’s enterprise AI platform; integrate with agent registries, runtime environments, and observability frameworks
• Enable secure agent interaction with enterprise data sources while adhering to data classification, lineage, and usage constraints
• Ensure agents meet Model Risk Management and regulatory expectations, including explainability, reproducibility, and full auditability
• Apply enterprise security controls, identity and access management, and secure API integration
• Establish testing, observability, and operational support for production agents, including continuous improvement
• This job is available in full and parttime