AI Integration Services / Tech Lead (m/f/x) - Vice President

Job Description:

Job Title AI Integration Services / Tech Lead (m/f/x)

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

We are seeking a dynamic and experienced Tech Lead –AI Integration Services to guide our engineering team in building scalable, secure, and efficient AI/ML solutions on Google Cloud Platform (GCP). This role requires deep technical expertise, strong leadership, and a strategic mindset for designing and delivering production-grade AI solutions. You will work closely with data scientists, engineers, product managers, and stakeholders to ensure our AI/ML solutions meet business and regulatory needs while driving innovation and operational excellence.

Join us in shaping the future of AI at scale in financial services. If you are passionate about cloud-native AI, MLOps, and software engineering, we want to hear from you!

What We Offer You

• A diverse and inclusive environment that embraces change, innovation, and collaboration

• A hybrid working model with up to 60% work from home, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days, a commitment to Corporate Social Responsibility

• Employee Resource Groups support an inclusive workplace for everyone and promote community engagement

• Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values

• Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits, Educational resources, matching gift and volunteer programs

What You’ll Do

• Provide hands-on technical guidance and mentorship, fostering a culture of innovation, quality, and continuous improvement

• Architect and implement cloud-native AI/ML solutions using GCP services such as Vertex AI, BigQuery, Dataproc, GKE, and Cloud Composer, among others

• Define and promote best practices in MLOps, DevOps, continuous integration/continuous deployment (or development) (CI/CD), infrastructure as code, and model governance

• Evaluate and integrate emerging technologies in LLM Ops, feature stores, prompt engineering, and observability

• Establish and enforce engineering standards for code quality, testing, deployment, and monitoring

• Drive continuous improvement in development processes

How You’ll Lead

• Lead a cross-functional team of engineers in the design, development, and deployment of AI/ML infrastructure and applications on GCP

• Collaborate with product managers and stakeholders to translate business and compliance requirements into scalable technical solutions

• Proven experience in leading technical teams, with a track record of delivering complex AI/ML projects at scale

Skills You’ll Need

• Bachelor’s degree or equivalent required

• Extensive experience in software engineering, data engineering, or MLOps, with relevant experience in technical leadership roles

• Strong proficiency in Google Cloud Platform, proven experience designing and deploying AI/ML solutions in production environments, including model lifecycle management, monitoring, and compliance

• Solid programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Apache Beam, Spark, Kafka)

• Familiarity with ML monitoring, drift detection, feature store integration, and model observability

Skills That Will Help You Excel

• Strong problem-solving skills and the ability to make data-driven decisions under p