Principal Software Engineer: AI Systems & Data Platform Lead

JPMorganChase; Glasgow; On-site; GBP 95,000 - 140,000; Full time

Job summary

J.P. Morgan is a global leader in financial services, providing strategic advice and products to corporations, governments, and institutional investors.

The company emphasizes collaboration, diversity, and inclusion across its global workforce. We are seeking an engineer to design and govern agentic AI-enabled systems within regulated financial services, driving scalable data processing, platform architecture, and secure AI practices across teams.

Qualifications

• Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale.
• Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments.
• Expert in one or more programming languages, particularly Python and/or Java.
• Advanced knowledge of software application development and technical processes, with depth in cloud, AI/ML, or data engineering.
• Experience in large-scale data processing, microservices, API design, Kafka, Redis, observability tools, and orchestration frameworks.
• Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance.
• Practical cloud-native experience (AWS, Azure, or GCP).
• Ability to present and effectively communicate with senior leaders and executives.
• Demonstrable experience designing and leading adoption of agentic AI-enabled development practices with human-in-the-loop validation and secure data handling.
• Strong understanding of responsible AI use and governance in engineering workflows.

Responsibilities

• Architects and implements complex, scalable engineering frameworks and solutions.
• Develops secure, high-quality production code for data-intensive applications and platforms.
• Creates durable, reusable software frameworks and patterns leveraged across teams.
• Designs and governs agentic AI systems and tool integrations for regulated environments.
• Establishes engineering standards for LLM-based applications with guardrails for safety and observability.
• Drives adoption of advanced technical methods aligned with industry standards.
• Serves as subject matter expert in data engineering, platform architecture, or AI systems.
• Advises cross-functional teams on technical strategy and direction.
• Architects and governs AI-enabled workflows to improve delivery speed and code quality, with guardrails.
• Applies SDLC tools and AI-assisted development to improve automation value.

Skills

System design

AI/ML

Python/Java

Cloud

Data engineering

Leadership

Communication

Security & governance

Tools

Kafka

Redis

Dynatrace

Splunk

Grafana

Airflow

Temporal

Databricks

Snowflake

Spark

Job description

J.P. Morgan is a global leader in financial services, providing strategic advice and products to corporations, governments, and institutional investors.

The company emphasizes collaboration, diversity, and inclusion across its global workforce. We are seeking an engineer to design and govern agentic AI-enabled systems within regulated financial services, driving scalable data processing, platform architecture, and secure AI practices across teams.