At a Glance
- Tasks: Build and deliver innovative AI solutions for Client360, driving intelligent automation.
- Company: Join JPMorgan Chase, a leader in financial services with a focus on technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to work across diverse teams.
- Why this job: Be at the forefront of AI transformation and make a real impact in finance.
- Qualifications: 2-4 years of software delivery experience and strong engineering fundamentals required.
The predicted salary is between 59400 - 72600 £ per year.
Client360 is one of JPMorgan Chase Commercial & Investment Bank’s strategic pillars, building the future of our business and unifying the data fabric of all client activity.
Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale.
- Are you passionate about Agentic AI and operational transformation? As the
- Agentic AI Operations Associate
, you will help drive the build and day-to-day operation of agentic AI solutions, enabling intelligent automation across Client360.
You’ll work closely with product, architecture, engineering, platform operations, and data operations teams to implement agent-led workflows and ensure they are scalable, reliable, well-controlled, and measurable.
This role is suited to an engineer who can independently translate intent into working software, proactively improve delivery quality, and reduce the burden on senior team members by understanding the technical requirements without extensive explanation.
- Job responsibilities
- Build and deliver software that enables agentic AI operations for Client360 (e. g., services, workflow components, integrations, automations, internal tools), working within established platform standards.
- Partner with architecture and engineering leads to implement the target-state Agentic AI workbench and integrated control environment, including connectivity patterns, orchestration hooks, and evaluation/monitoring integrations.
- Own small-to-medium engineering deliverables end-to-end: requirements clarification, design approach, implementation, testing, release, and post-release support.
- Contribute to code reviews and quality gates; proactively identify broken or risky changes and either fix them or propose specific remediations.
- Support operational readiness by contributing to runbooks, instrumentation/telemetry, dashboards/alerts (where applicable), incident learnings, and ongoing production hygiene.
- Contribute to CI/CD and release practices by working with automated build/test pipelines, deployment workflows, environment promotion, deployment verification, and rollback readiness.
- Help coordinate integration with platform and data operations teams to pivot workflows into agent-led operations while maintaining reliability, auditability, and a strong user experience.
- Support risk/control-aligned delivery by contributing to traceability and evidence (requirements→ build→ deployment→ monitoring), in partnership with relevant SMEs and control functions.
- Assist in establishing and tracking KPIs (stability, adoption, time-to-value, automation effectiveness) and using data to drive continuous improvement.
- Collaborate with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency, adoption, and continuous improvement of agentic AI solutions.
- Required qualifications, capabilities, and skills
- 2–4+ years of real-world software delivery experience as an engineer (growth engineering, product engineering, full-stack development, backend, or platform), including shipping to production and supporting what you ship.
- Demonstrated ability to operate with minimal technical hand-holding: understands technical requirements quickly and can independently implement fixes and improvements with good judgment.
- Hands-on experience using AI coding assistants in day-to-day development (e. g., Git Hub Copilot and/or Claude Code) to accelerate delivery, with an understanding of their limitations and the need for rigorous review/testing. (Use of any specific tool must align with JPMorgan Chase-approved tooling and policy.)
- Strong engineering fundamentals: version control, code review practices, testing strategy, debugging, and operational excellence habits.
- Familiarity with Continuous Integration and Continuous Delivery (CI/CD), including automated build/test pipelines, deployment workflows, release hygiene, and safe change practices (environment promotion, rollbacks, and deployment verification).
- Strong communication and collaboration skills, with the ability to work effectively across product, architecture, engineering, and operations teams and to explain technical concepts to non-technical stakeholders.
- Working knowledge (or strong willingness to learn) of delivery in regulated environments, including secure SDLC practices, data governance, logging/monitoring, and operational risk considerations.
- Preferred qualifications, capabilities, and skills
- Experience building or operating AI-enabled systems (agentic workflows, orchestration frameworks, LLM-enabled automation) and/or observability for AI/automation in production.
- Experience working in a highly matrixed, complex organization and/or within a financial institution.
- Degree in Computer Science, Engineering, or a related field is beneficial, but is not a substitute for hands‑on engineering delivery experience.
- Experience ensuring customers and stakeholders are engaged and positive about delivered solutions through strong rollout, enablement, and feedback loops.
- #J-18808-Ljbffr
Agentic AI Associate - Client 360 in London 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 Agentic AI Associate - Client 360 in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at 慨正橡扯 or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to 慨正橡扯.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like 慨正橡扯.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like 慨正橡扯 that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Agentic AI Associate - Client 360 in London
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.
