Applied AI & Agent Engineering Lead - Vice President
About The Position
Job Title: Applied AI & Agent Engineering Lead Corporate Title: Vice President Location: Cary, NC Who we are: In short – an essential part of Deutsche Bank’s technology solution, developing applications for key business areas. Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work. Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here. Overview As an Applied AI & Agent Engineering Lead, you will spearhead the development of intelligent, autonomous AI systems with a focus on agentic AI. You will define and enforce prompt architecture standards, lead the creation of process miner AI agents and specialized business process agents (e.g., for payment repair). A critical part of your role will be the ownership of agent evaluation frameworks and regression discipline, ensuring the reliability and performance of our multi-agent orchestrations. You will master tool use and function calling, develop LLM evaluation methodologies, and design experiments to continuously improve agent performance, especially within HITL (Human-in-the-Loop) design patterns. This role requires a deep passion for elegant and effective solutions, proactively ensuring designs are not only fit for purpose but also perform flawlessly in production for critical regulatory reporting and analytics. What We Offer You A diverse and inclusive environment that embraces change, innovation, and collaboration A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days Employee Resource Groups support an inclusive workplace for everyone and promote community engagement Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gift and volunteer programs
Requirements
- Proficiency in Python and orchestration frameworks.
- Experience with Google ADK/Vertex AI.
- Expertise in prompt architectures/optimization (e.g., DSPy, Chain of Thought, ReAct, Tree of Thoughts).
- Deep knowledge of multi-agent systems, evaluation metrics, and experiment design.
- Understanding of HITL design patterns.
Nice To Haves
- Proven experience as an early engineer or key contributor to specialized applied AI projects.
- Ability to build AI workflows utilizing multi-modal inputs.
- Experience contributing to major multi-agent frameworks.
Responsibilities
- Define and drive prompt architecture standards across AI agent development.
- Lead the design and implementation of process miner AI agents and business process agents (e.g., for Payment Repair).
- Own and maintain agent evaluation frameworks and agent regression discipline.
- Develop sophisticated multi-agent orchestration, mastering tool use and function calling.
- Establish LLM evaluation methodologies and design experiments to measure and improve agent performance.
- Implement HITL design patterns for AI workflows, ensuring seamless human-AI collaboration.
- Pioneer new applied AI projects, potentially involving multi-modal inputs like computer vision and document OCR with LLM reasoning.
- Contribute code to major multi-agent frameworks (e.g., LangChain, AutoGen, BMAD) and modernize legacy platforms with AI-driven initiatives.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
