At a Glance
- Tasks: Build and deliver innovative AI solutions for Client360, driving intelligent automation.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on diversity and inclusion.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and contribute to exciting projects in a supportive culture.
- Why this job: Make a real impact by working on cutting-edge AI technology in a dynamic environment.
- Qualifications: 2-4 years of software delivery experience and strong engineering fundamentals required.
The predicted salary is between 63000 - 77000 £ per year.
Client360 is one of JPMorganChase 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., GitHub Copilot and/or Claude Code) to accelerate delivery, with an understanding of their limitations and the need for rigorous review/testing.
- 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.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.
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.
Agentic AI Associate - Client 360 in London employer: JP Morgan Chase
At J.P. Morgan, we pride ourselves on being an exceptional employer, particularly within our Global Financial Crimes Compliance team in EMEA. Our commitment to diversity and inclusion fosters a collaborative work culture where employees are empowered to grow and develop their skills in a dynamic environment. With access to comprehensive training and the opportunity to engage with a wide range of financial services, you will find meaningful and rewarding career advancement in a company that values your contributions.
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We think this is how you could land Agentic AI Associate - Client 360 in London
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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 JP Morgan Chase.
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How to prepare for a job interview at JP Morgan Chase
✨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 JP Morgan Chase 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.
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