Sr Lead AI Platform Engineer

JPMorgan Chase · Glasgow

We're looking for a hands-on platform engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.

As a Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running.

This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech.

Job responsibilities

Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management
Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services
Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly
Implements platform-level security, secrets management, and access controls to firm-wide standards
Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk
Leads capacity, cost, and performance management for the team's compute and inference workloads
Mentors platform and DevOps engineers and sets engineering standards through design and code review
Champions the firm's culture of diversity, Opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices
Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns
Strong CI/CD experience and a track record of building deployment and release automation
Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps)
Practical experience with observability tooling (metrics, logging, tracing) and production incident response
Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management)
Strong communication skills and the ability to set standards other engineers adopt
Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar)
Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)

Preferred qualifications, capabilities, and skills

Site Reliability Engineering (SRE) experience and familiarity with reliability practices (SLOs, error budgets)
Experience within financial services technology
Familiarity with JPM-internal platform, cloud, and AI/ML infrastructure for internal candidates

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.

Promote and evolve our artificial intelligence platform, defining how we deploy, scale, secure, and operate reliable production services.

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