At a Glance
- Tasks: Design and build cutting-edge AI platforms, ensuring reliability and operational excellence.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Mentorship opportunities and a commitment to diversity and inclusion.
- Why this job: Be at the forefront of AI technology and make a real impact in financial services.
- Qualifications: 5+ years in software engineering, advanced Python skills, and experience with Kubernetes.
The predicted salary is between 63000 - 77000 £ per year.
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.
Sr Lead AI Platform Engineer employer: 慨正橡扯
At 慨正橡扯, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of Behavioral Economics and Retirement Research. Our hybrid working model not only offers flexibility but also nurtures a vibrant work culture where employees are encouraged to grow and develop their skills through meaningful projects and leadership opportunities. Join us in Europe, where your expertise will directly contribute to enhancing investor outcomes and shaping impactful business strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Lead AI Platform Engineer
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We think you need these skills to ace Sr Lead AI Platform Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 慨正橡扯.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 慨正橡扯 and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at 慨正橡扯
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 慨正橡扯 uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
