Lead Software Engineer - Platform AI Acceleration

Next Frontier Capital; Glasgow; On-site; GBP 120,000 - 155,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to join a specialist AI/ML team within Infrastructure Platforms. You will develop reusable APIs, libraries, and reference architectures to accelerate delivery across platforms.

You will lead the development and deployment of enterprise AI-enabled systems, mentor engineers, and promote best practices for secure, scalable solutions in regulated environments.

Qualifications

• Significant hands-on system/software development experience delivering production services in secure, regulated environments.
• Demonstrated experience leading technical discussions across a team or program.
• Significant experience in Java and/or Python.
• Experience using AI coding assistants to complete software engineering tasks.
• Solid understanding of building AI solutions using an LLM-backed architecture.
• Strong understanding of API design, microservices, and event-driven architectures.
• Experience building and operating cloud-native services on AWS, including Bedrock.
• Strong DevOps practices: CI/CD pipelines, containerization (Docker/ECS/EKS), and infrastructure-as-code (Terraform/CloudFormation).
• Strong prompt engineering capability including system prompts, few-shot prompting, tool calls, and JSON schema outputs.
• Experience driving secure adoption of enterprise AI-assisted engineering tools and setting team expectations for AI outputs.

Responsibilities

• Design and develop modular, maintainable AI systems aligned to Infrastructure platform standards, scalable and repairable.
• Collaborate with Applied AI/ML, Data Science, and Cybersecurity engineers to develop secure AI solutions for Infrastructure Platforms and users.
• Create secure, high-quality production code with thorough reviews and debugging.
• Evaluate AI solution approaches to improve design, code quality, and operational outcomes.
• Influence peers and decision-makers to adopt leading-edge technologies with measurable value.
• Lead adoption of enterprise AI engineering practices to improve code quality, speed, and operations while standardizing validation (secure coding, reviews, testing).
• Contribute to firmwide AI engineering standards and SDLC practices.
• Foster a team culture of opportunity, inclusion, and respect.

Skills

Systems development

Technical leadership

Java/Python

AI coding assistants

LLM-based AI

API design

Microservices

Event-driven

AWS Bedrock

DevOps

CI/CD

Docker/ECS/EKS

IaC

Prompt engineering

AI governance

Tools

GitHub Copilot

Claude Code

Job description

As a Lead Software Engineer at JPMorgan Chase within Infrastructure Platforms Applied Artificial Intelligence and Machine Learning (AI/ML), you will join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across key products and platforms.

We are seeking a Lead Software Engineer to join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across key products and platforms. This is a hands-on technical specialist role, with the opportunity to create new systems and capabilities that will accelerate our business.

The ideal candidate brings a strong foundation in software engineering and AI/ML, along with proven experience leading the development and production operation of AI-enabled systems in secure, enterprise environments. In this role, you will collaborate closely with engineering teams across our group to develop priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays at the forefront of AI engineering advancements.

Your deep experience of developing and deploying software to production in enterprise environments will be key to enabling our AI strategy, combining practical expertise with AI/ML knowledge to ensure our systems are secure, compliant and performant.

Job responsibilities

• Design and develop modular, maintainable AI systems and interfaces aligned to Infrastructure platform standards, optimizing for scalability, resiliency, and long-term operability.
• Partner closely with Applied AI/ML, Data Science and Cybersecurity engineers to develop secure AI solutions for Infrastructure Platforms and our consumers.
• Create secure and high-quality production code, and reviews and debugs code written by others
• Evaluate AI solution approaches from engineering standpoint to improve overall design quality, code quality, and operational outcomes.
• Influence peers and project decision makers to adopt leading-edge technologies where they create measurable value.
• Drives team adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• Contribute to the engineering community by advocating firmwide frameworks, tools, and practices for the AI-enabled System Development Life Cycle (SDLC).
• Foster a team culture of opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Significant hands-on system/software development experience, delivering production services in secure, regulated environments.
• Demonstrated experience leading technical discussions (technical direction, design reviews, quality standards, and operational readiness) across a team or program.
• Significant experience in at least one modern programming language: Java, Python.
• Experience using AI coding assistants (GitHub Copilot, Claude Code etc) to complete software engineering tasks.
• Solid understanding of building AI solutions using an LLM backed architecture.
• Strong understanding of API design, microservices, and event-driven architectures.
• Experience building and operating cloud-native services on AWS, including Bedrock.
• Strong DevOps practices: CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code (e.g., Terraform/CloudFormation).
• Strong prompt engineering capability, including system prompts, few-shot prompting, tool/function calling, and structured outputs (e.g., JSON schemas).
• Demonstrated experience driving secure and effective adoption of enterprise-approved AI-assisted engineering tools (coding, review, testing, troubleshooting) and setting team expectations for validating AI outputs for correctness, performance, and security.

Preferred qualifications, capabilities, and skills

• Financial Services industry experience

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Build reusable software platforms, tools, and libraries that power scalable artificial intelligence and accelerate product delivery.