Applied Ai & Agent Engineering Lead - Vice President

Deutsche Bank

Cary, NC, US
Base: $125,000 to $185,000; bonus/equity: not spec...
Hybrid
Proficiency in python and orchestration frameworks
Experience with google adk or vertex ai
Expertise in prompt architectures like dspy and react
Deutsche Bank is seeking an Applied AI & Agent Engineering Lead for its Cary, NC office, focusing on the development of intelligent AI systems and agentic AI. The role emphasizes leadership in defining architecture standards, designing AI agents, and ensuring system performance, all within a hybrid working environment

Job Summary

  • You will spearhead the development of intelligent, autonomous AI systems with a focus on agentic AI and define prompt architecture standards.
  • The role requires ownership of agent evaluation frameworks and regression discipline to ensure reliability in critical regulatory reporting.
  • Deutsche Bank offers a hybrid working model, competitive compensation, and a diverse environment that embraces innovation and collaboration.

Matching Summary

Match Score: 85

Deutsche Bank is seeking an Applied AI & Agent Engineering Lead for its Cary, NC office, focusing on the development of intelligent AI systems and agentic AI. The role emphasizes leadership in defining architecture standards, designing AI agents, and ensuring system performance, all within a hybrid working environment.

Salary

Base: $125,000 to $185,000; Bonus/Equity: Not specified; Benefits: Health, retirement, parental leave, and educational resources included

Skills & Requirements

Must-have

  • Proficiency in Python and orchestration frameworks
  • Experience with Google ADK or Vertex AI
  • Expertise in prompt architectures like DSPy and ReAct
  • Deep knowledge of multi-agent systems and evaluation metrics
  • Understanding of HITL design patterns

Nice-to-have

  • Early engineer experience in specialized applied AI projects
  • Ability to build AI workflows with multi-modal inputs
  • Experience contributing to major multi-agent frameworks
  • Passion for elegant and effective solutions

Key Requirements

  • Vice President level corporate title
  • Deep knowledge of LLM evaluation methodologies
  • Experience with multi-agent orchestration

Work Rights

Not specified

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