Artificial Intelligence (AI) Engineer - Associate

Job Description:

Job Title Artificial Intelligence (AI) Engineer

Corporate Title Associate

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 talented and experienced AI Engineer to join our team. The ideal professional will be hands-on and drive design, development, and implementation of Artificial Intelligence (AI) based solutions for Environmental Social and Governance (ESG) Investment Banking (IB) Tech. This role involves working with large datasets, conducting experiments, and staying updated with the latest advancements in AI and Machine Learning. This professional is expected to innovate and lead the Tech efforts in modernizing the engineering landscape by identifying AI use cases and provide local support. If you are actively coding, have a passion for AI and want to be part of developing innovative products – then apply today.

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

• Design, develop and implement AI and Gen-AI based Agentic software systems on the cloud

• Collaborate with other development teams and subject matter experts (SMEs) to integrate shared services into products

• Learn Deutsche Bank’s AI Governance framework and operate within safe AI principles

• Leverage architecture decision trees to pick strategic AI patterns to solve business problems

• Integrate Gen-AI application programming interface (APIs) with cloud-native presentation (GKE, Cloud Run) and persistent layers (PostgreSQL, BQ)

• Run systems at scale while continuing to innovate and evolve and work with data engineers and scientists to ensure effective data collection and preparation for training AI models

Skills You’ll Need

• Bachelor’s degree or equivalent required

• AI Expertise and proficiency in frameworks (Langchain, Streamlit or similar), libraries (Scikit-learn or similar) and cloud platforms (Vertex AI or OpenAI)

• Prompt Engineering & Red Amber Green (RAG) skills in crafting effective prompts and enhancing AI outputs with external data integration

• NLP Strong knowledge understanding of natural language processing and conversational AI technologies

• Deployment & Operations experience in model deployment, monitoring, optimization (MLOps), and problem-solving

• Proficiency with cloud-native orchestration systems (Docker/Kubernetes), Python or Java, and Structured Query Language (SQL); as well as knowledge of RESTful design

Skills That Will Help You Excel

• Experience as a Data/AI Engineer with Proven expertise in designing, developing, and deploying data pipelines using Google Cloud Platform (GCP) services or any equivalent cloud service

• Experience with Vertex AI and machine learning models and algorithms using PyTorch, TensorFlow or any other machine learning frameworks

• In-depth knowledge of GCP and its core data services (GCS, Big Query, Cloud Storage, Dataflow,