Overview
As Lead Software Engineer at JPMorganChase you will drive AI-powered, cloud-native systems from discovery to production, surrounding multi-cloud environments with robust APIs and secure, scalable architectures. You’ll own end-to-end delivery and shape engineering standards while solving complex, high-impact problems at scale. You will work closely with cross-functional teams to implement responsible AI practices and measurable improvements in performance and reliability. This role offers a chance to influence how the firm builds and operates technology, with a focus on architecture, experimentation, and professional growth.
Responsibilities
- Lead end-to-end initiatives from requirements to production support with strong ownership
- Design and implement AI solutions using LLMs and agent patterns, including prompting, tool calls, retrieval, routing, and memory/state management
- Build guardrails, evaluation frameworks, monitoring pipelines, and cost/latency optimizations for production LLM systems
- Design, build, and operate REST and gRPC APIs and microservices with OpenAPI and Protobuf contracts, ensuring backward compatibility, authentication, rate limiting, and observability
- Apply resilience engineering patterns (timeouts, retries, circuit breakers) for production-grade behavior
- Develop and maintain Python services with solid packaging, dependency management, and architectural standards
- Own data design and complex SQL optimization for performance and reliability
- Build infrastructure as code with Terraform, containerized deployments via Kubernetes, and CI/CD across multi-cloud environments
- Drive engineering excellence in code quality, testing, performance, reliability, and incident analysis
- Mentor engineers, provide technical guidance, and establish standards for delivery and engineering practices
- Promote enterprise AI-assisted development practices (code review, testing strategies, incident analysis) and reusable patterns across the team
- Leverage SDLC toolchain and enterprise AI-assisted development to improve automation value and validation of AI outputs
Key requirements
- Formal training or certification in software engineering concepts and advanced applied experience
- Proven track record delivering end-to-end software with strong ownership
- Strong Python software engineering skills for production-grade services and automation
- Strong understanding of relational databases, SQL, and query optimization
- Experience building AI solutions with large language models in production (QA, safety, observability, cost management)
- API and microservices engineering experience (design, security, performance, observability)
- Hands-on multi-cloud experience (AWS preferred) with distributed systems fundamentals
- Strong Terraform skills for IaC, environment management, and remote state
- DevOps practices including CI/CD, Git workflows, and Kubernetes deployments
- Experience with enterprise AI-assisted development tools and evaluating AI outputs for correctness, security, and performance
- Understanding of responsible AI use in engineering workflows
- ownership and accountability
- mentorship and technical leadership
- cross-functional collaboration
- LLMs and agent architectures
- Prompting strategies and tool calling
- Retrieval, routing, and memory/state management
Software Engineer III - Java / Python, AI & ML in Glasgow employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
