Director of Software Engineering and ML - Agentic Commerce - Executive Director

Aumni; Greater London; On-site; GBP 140,000 - 190,000; Full time

Job summary

JPMorganChase in London seeks a Director of Software Engineering to lead a team of software, data, and ML engineers. You own delivery, people, and technical direction for B2B agents and productionized ML models on the NEO agent platform.

You will drive cross-functional collaboration, set architectural direction, and ensure compliance with risk, cybersecurity, and governance standards before production deployment.

Qualifications

• Formal training or certification in software engineering with leadership experience.
• Experience delivering system design, development, testing, and ops stability.
• Track record scaling engineering teams and developing leaders.

Responsibilities

• Lead the London engineering team across roles with hiring, coaching, and performance management.
• Own delivery roadmap for B2B agentic commerce agents from launch to scale.
• Set multi-agent architecture direction, pricing policy, evaluation and observability.
• Oversee ML production lifecycle: training, deployment, monitoring, retraining.
• Navigate model risk, cybersecurity, and control reviews before go-live.
• Collaborate with platform, data, channel, and business teams; promote reusable patterns.
• Advise on resource, budget, vendor selection, and operational decisions.
• Lead external vendor evaluations for architecture and security credentials.
• Communicate progress and risks clearly to senior technology and business leaders.
• Promote diversity, opportunity, inclusion, and respect within the team.

Skills

Leadership

Engineering management

AI/ML systems

CI/CD & security

Cloud native

Executive communication

Agile methodologies

Kubernetes

Security design

Cross-team influence

Education

Software engineering certification

Tools

Kubernetes

Amazon EKS

Databricks

MLflow

AWS

Job description

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Director of Software Engineering at JPMorganChase within the Commercial and Investment Bank, Payments Technology, you lead a London team of software, data, and ML engineers that builds B2B agentic commerce agents and productionizes the ML models those agents use as tools. You own delivery, people, and technical direction for the team, and you are accountable for putting AI agents that act for corporate clients into production safely, on the firm’s governed NEO agent platform.

Job responsibilities

• Builds and leads the London engineering team across associate, lead, and senior lead levels, with direct responsibility for hiring, coaching, career development, and performance
• Owns the delivery roadmap for B2B agentic commerce agents, from first production release through scale-out, in partnership with product owners, program managers, and design
• Sets technical direction with senior engineers for multi-agent architecture, deterministic control of pricing and policy decisions, evaluation, and observability
• Establishes the operating model for ML in production: how models are trained, tested, promoted across environments, served as tools, monitored, and retrained
• Leads the team through the firm’s model risk, cybersecurity, and control reviews required before agents and models go live, and owns ongoing production stability
• Partners with the NEO platform team, data platform teams, client channel teams, and business stakeholders, and contributes reusable components back to the platform
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team
• Makes decisions that influence team resources, budget, vendor selection, and tactical operations, and is accountable for those outcomes
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Communicates progress, risks, and trade-offs clearly to senior technology and business leadership
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience, including significant experience leading and developing engineering teams
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Track record of building and scaling engineering teams, including hiring senior engineers and developing leaders
• Experience leading delivery of production AI/ML systems, ideally including LLM-based applications or agents
• Strong understanding of the ML lifecycle in production: data pipelines, training, deployment, monitoring, and governance
• Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set organizational expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations
• Proficient in all aspects of the Software Development Life Cycle and an advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical cloud native experience
• Proficiency with Kubernetes and Amazon EKS, micro-VM isolation, and sidecar patterns, with the depth to direct security design across multiple layers of the stack, from network and workload identity through runtime isolation to the application
• Ability to influence across organizational boundaries and communicate with executive audiences

Preferred qualifications, capabilities, and skills

• Experience with agent frameworks and protocols (MCP, A2A, Google ADK, LangGraph) and agent evaluation practices
• Experience with Databricks, MLflow, and model serving on Kubernetes in AWS
• Experience delivering AI systems through model risk management or equivalent regulatory review
• Experience running a team within a federated platform model, contributing to and consuming shared platform capabilities
• Domain knowledge of B2B payments, commercial card, accounts payable, supplier enablement, or KYC onboarding
• Experience building a new engineering hub or team

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.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Drive innovation and solution delivery while leading a technical area and serving as a primary decision maker for your teams.