Senior Lead Software Engineer - AI Solutions Software Engineer

JPMorgan Chase & Co.; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading global financial firm is seeking a Senior Lead Software Engineer to drive AI product development within the Data Science team. This role involves collaborating on innovative solutions, designing robust architectures, and providing technical leadership. Candidates should possess advanced knowledge in software architecture and programming languages like Python and Golang, along with exposure to cloud technologies like AWS or GCP. This position promotes a culture of diversity, creativity, and collaboration.

Qualifications

• Advanced knowledge of cloud, AI, and machine learning.
• Proven programming skills with modern languages.
• Hands-on experience in system design and operational stability.

Responsibilities

• Collaborate with data scientists and engineers to deliver production-ready products.
• Design architecture for applications and data pipelines.
• Drive decisions on product design and application functionality.

Skills

Software architecture knowledge

Cloud technologies (AWS or GCP)

Programming languages (Python, Golang, TypeScript)

Delivering system design

Experience with GPT, LLM, Gen AI

Job description

Are you ready to make a real impact with cutting-edge AI solutions? As part of our Data Science team, you’ll work alongside talented engineers and scientists to create market-leading products. You’ll have the opportunity to grow your career, expand your skills, and help drive the future of technology at a global scale. We value creativity, collaboration, and a culture of inclusion. Your expertise will help us deliver secure, scalable, and trusted AI solutions.

As a Senior Lead Software Engineer at JPMorganChase within the Data Science team under Global Technology CDAO, you will design, develop, and architect AI products that support our clients and business growth. You will collaborate with software and data engineers, as well as research scientists, to deliver innovative solutions. Your role will include providing technical leadership, translating business needs into technical specifications, and recommending optimal technologies. You will help foster a culture of diversity, equity, and inclusion while driving technical excellence.

Job Responsibilities:

• Collaborate with data scientists and machine learning engineers to deliver products to production
• Execute creative software solutions, design, development, and technical troubleshooting
• Produce architecture and design artifacts for complex applications, including data pipelines for analytics, model evaluation, and training
• Ensure design constraints are met by software code development
• Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture
• Provide feedback and propose improvements to architecture governance practices
• Guide evaluation of current technology and lead evaluation of new technologies using existing standards and frameworks
• Drive decisions that influence product design, application functionality, and technical operations
• Add to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills:

• Advanced knowledge of software architecture, applications, and technical processes in one or more technical disciplines (cloud, artificial intelligence, machine learning, etc.)
• Exposure to cloud technologies (AWS or GCP) through hands‑on experience or certification
• Proven programming and scripting skills with multiple modern languages including Python, Golang, TypeScript, and similar
• Hands‑on experience delivering system design, application development, testing, and operational stability
• Experience with GPT, LLM, RAG, Gen AI, and Prompt Engineering technologies

Preferred Qualifications, Capabilities, and Skills:

• Experience working in agile development teams
• Strong communication and collaboration skills
• Ability to evaluate and recommend new tools and technologies
• Familiarity with compliance and validation in model development
• Commitment to continuous learning and professional growth