Corporate KYC Sr Lead Software Engineer

Salary: £100,000 - 100,000 per year

Requirements:

• Practical experience delivering system design, application development, testing, and operational stability at enterprise scale
• Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments
• Proficiency in one or more programming languages, particularly Python and/or PySpark
• Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering
• Experience in large-scale data processing, microservices, API design, and orchestration frameworks
• Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures
• Familiarity with observability tools and frameworks
• Practical cloud-native experience (AWS, Azure, or GCP)
• Ability to communicate effectively with senior leaders and executives
• Commitment to inclusive, collaborative teamwork
• Strong problem-solving and analytical skills
• Experience with modern data platforms such as Databricks or Snowflake
• Hands-on expertise with Spark/PySpark and big data processing technologies
• Knowledge of open-source table formats and catalog services such as Apache Iceberg
• Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints
• Familiarity with AI evaluation and observability practices for LLM workloads
• Understanding of agentic design patterns and how to constrain agent autonomy in financial workflows
• Interest in emerging technologies and continuous learning

Responsibilities:

• Develop secure, high-quality production code for data-intensive applications and platforms
• Mentor and review work of other engineers to promote best practices
• Create durable, reusable software frameworks and patterns leveraged across teams
• Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls
• Establish engineering standards for LLM-based applications, ensuring safety and reproducibility
• Drive adoption of advanced technical methods and industry-aligned product development practice
• Advise cross-functional teams on technological matters within your domain
• Apply knowledge of tools within the Software Development Life Cycle to enhance automation value
• Collaborate with colleagues across the organization to deliver impactful solutions
• Lead architectural decisions and engineering practices for scalable software
• Foster a culture of innovation and continuous improvement

Technologies:

• Agentic AI
• AI
• API
• AWS
• Azure
• Big Data
• Cloud
• Databricks
• GCP
• Support
• LLM
• Marketing
• Model Serving
• NoSQL
• Python
• PySpark
• Snowflake
• Spark
• microservices

More:

We are partnering with JPMorganChase for a Senior Lead Software Engineer role in our Corporate Sector Data Engineering team. We are building secure, scalable, and innovative solutions for our Global Know Your Customer and Risk Assessment Data Platform, with a focus on high-impact software, architectural leadership, and a culture of excellence. We offer a competitive total rewards package, with base salary based on the role, experience, skill set, and location, and eligible roles may receive commission-based pay and/or discretionary incentive compensation. We also offer a range of benefits and programs, including comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We are committed to diversity and inclusion and provide reasonable accommodations where needed. Our Corporate Functions teams span finance and risk, human resources, and marketing, and play an essential role in supporting our businesses, clients, customers, and employees.

last updated 35 week of 2026