Senior AI Engineer – Hybrid-Remote Agentic AI for L1 Surveillance

Deutsche Bank AG; Birmingham; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid Working

Competitive salary

Private Healthcare for you and family

Life Assurance

Non-contributory pension

Retail Discounts

Bike4Work scheme

Gym benefits

CSR volunteering leave

Job summary

Deutsche Bank AG in Birmingham seeks a Senior Engineer to advance the Agentic-AI initiative within Level 1 surveillance. The role focuses on architecting AI-enabled, cloud-native components on a hybrid cloud platform (GCP) for regulator-mandated surveillance of trader and client behavior.

You will work on an AI-enabled workflow, integration with SOA, and implement guardrails while delivering business use cases and collaborating across DevOps, data, and product teams.

Qualifications

• Proven high-level engineering capability with a focus on AI frameworks.
• Expert in Python and service-oriented architectures.
• Experience delivering cloud-native, containerised systems on GCP.
• Exposure to agentic engineering and front-line AI tooling.
• Understanding of risk, governance and responsible AI usage.

Responsibilities

• Architectural and design alignment with the organization's AI framework.
• Keep abreast of frontier models and agentic engineering trends.
• Operationalise components and ensure delivery against platform direction.
• Introduce critical guard rails for safe deployment.
• Lead delivery of business use cases engaging DevOps, growth and support teams.

Skills

Python

SOA

Event-driven

Langgraph

Langchain

Langfuse

AI tools

GCP

CI/CD

Cloud-native

Tools

GitHub

Docker

Kubernetes

Job description

Deutsche Bank AG in Birmingham seeks a Senior Engineer to advance the Agentic-AI initiative within Level 1 surveillance. The role focuses on architecting AI-enabled, cloud-native components on a hybrid cloud platform (GCP) for regulator-mandated surveillance of trader and client behavior.

You will work on an AI-enabled workflow, integration with SOA, and implement guardrails while delivering business use cases and collaborating across DevOps, data, and product teams.