Are you ready to shape the future of AI-driven reliability engineering? At JPMorganChase, we're building intelligent systems that don't just monitor — they reason, analyze, and act. This is your opportunity to lead at the forefront of agentic AI, designing autonomous systems that transform how we deliver resilient, scalable technology at enterprise scale.
As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will lead the architecture and development of production-grade agentic AI and multi-agent systems on the Reliability Engineering team. You will design autonomous agents that integrate across telemetry pipelines, application stacks, and cloud infrastructure — driving engineering productivity, system reliability, and operational excellence. This role offers the chance to pioneer how intelligent automation reshapes platform reliability for one of the world's leading financial institutions.
Job responsibilities
- Design and develop enterprise AI systems that enhance engineering productivity, system reliability, and operational excellence
- Architect autonomous agents — not just integrating workflows, but AI systems that reason, analyze, and act across system and application reliability
- Architect and govern agentic system components including orchestration, memory/state management, workflow control, and human-in-the-loop patterns where needed
- Own the agentic architecture non-functional requirements posture end-to-end: observability, security, guardrails, and evaluation
- Provision and manage scalable AI infrastructure, deployment pipelines, and cost optimization
- Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develop secure, high-quality production code, and review and debug code written by others
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Contribute to a team 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 programming with Python
- Proficiency in all aspects of the Software Development Life Cycle and in automation and continuous delivery methods
- Hands-on experience delivering agentic AI to production (not just LLM wrappers or prompt-to-workflow integrations)
- Experience with AI agent frameworks (e.g., LangGraph, CrewAI), runtimes, orchestration, evaluation/benchmarking systems, and model selection policies
- Experience developing production generative AI applications at scale with experimentation, model quality measurement, retrieval-augmented generation, and vector search
- Strong cloud infrastructure experience (e.g., AWS) and infrastructure-as-code (e.g., Terraform)
- Experience building distributed systems or high-scale systems where reliability matters
Preferred qualifications, capabilities, and skills
- Previous experience working within infrastructure, platform engineering, or reliability engineering domains
- Knowledge of site reliability engineering concepts, including Service Level Objectives/Indicators, error budgets, incident management, resilience patterns, and observability
- Previous experience as a machine learning software engineer in a dynamic technology company or startup.
#CTC
About Us
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering and 5+ years applied experience
- Advanced proficiency in Python
- Proficiency in Software Development Life Cycle, automation, and continuous delivery methods
- Hands-on experience delivering agentic AI to production (beyond LLM wrappers)
- Experience with AI agent frameworks and runtimes (e.g., LangGraph, CrewAI), orchestration, and evaluation/benchmarking systems
- Experience developing production generative AI applications with experimentation, model quality measurement, retrieval-augmented generation, and vector search
- Strong cloud infrastructure experience (e.g., AWS) and infrastructure-as-code (e.g., Terraform)
- Experience building distributed or high-scale systems where reliability matters
- Previous experience in infrastructure, platform engineering, or reliability engineering domains
- Knowledge of site reliability engineering concepts (SLOs/SI, error budgets, incident management, resilience, observability)
- Previous experience as a machine learning software engineer in a dynamic technology company or startup
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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