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. (Use of any specific tool must align with JPMorganChase-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.
About UsJ.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.
Skills Required
- 2-4+ years of software delivery experience as an engineer, including shipping to production and supporting what you ship
- Ability to operate with minimal technical hand-holding and independently implement fixes and improvements
- Hands-on experience using AI coding assistants (e.g., GitHub Copilot, Claude Code) in day-to-day development
- Strong engineering fundamentals: version control, code review, testing strategy, debugging, and operational excellence
- Familiarity with CI/CD, automated build/test pipelines, deployment workflows, environment promotion, rollbacks, and release hygiene
- Strong communication and collaboration skills across product, architecture, engineering, and operations teams
- Working knowledge or strong willingness to learn delivery in regulated environments: secure SDLC, data governance, logging/monitoring, operational risk
- Experience building or operating AI-enabled systems (agentic workflows, orchestration frameworks, LLM-enabled automation) and/or AI observability in production
- Experience working in a highly matrixed, complex organization and/or within a financial institution
- Degree in Computer Science, Engineering, or related field
- Experience ensuring customers and stakeholders are engaged and positive through rollout, enablement, and feedback loops
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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