Lead Software Engineer - Python/Java AI

We have an opportunity to impact your career and provide an adventure where you

can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate Sector

Technology, you are an integral part of an agile team that works to enhance,

build, and deliver trusted market-leading technology products in a secure,

stable, and scalable way. As a core technical contributor, you are responsible

for conducting critical technology solutions across multiple technical areas

within various business functions in support of the firm’s business objectives.

Job responsibilities:

* Drives team adoption of enterprise-authorized AI-assisted engineering

practices within the work environment to improve code quality, delivery

speed, and operational outcomes (e.g., AI-assisted code review/refactoring,

test strategy acceleration, incident/root-cause analysis support), while

establishing consistent validation standards (secure coding, peer review,

automated testing) and promoting reuse of effective patterns across the team.

* Applies knowledge of tools within the Software Development Life Cycle

toolchain, including enterprise-authorized AI-assisted development and

automation capabilities, to improve the value realized by automation.

* Architect and implement resilient, highly scalable, fault-tolerant,

low-latency services and drive target-state architecture.

* Design and deploy services that integrate with enterprise systems; ensure

functional, performance, scalability, security, governance, and auditability

requirements are met.

* Lead and mentor the development team in a high-pressured delivery

environment; manage multiple deliverables across business groups and

strengthen stakeholder relationships.

* Collaborate with LOB users, SMEs, architects, DBAs, and system administrators

to design solutions, manage enhancements, and resolve issues.

* Build and mature capabilities that execute ML pipelines for fraud detection

and risk assessment; support modeling teams in implementation and tooling.

* Production Alize models built by data scientists, including validation

readiness and quality controls prior to live usage.

* Design and own reusable ML platform components (e.g., feature-store patterns,

delivery pipelines) and establish monitoring/alerting for performance,

scalability, availability, and reliability.

* Build agentic AI services to automate and enhance engineering and model-ops

workflows (tool-using agents, orchestration, state management, and

audit-ready traceability).

* Define and implement guardrails and evaluation approaches for agentic AI in

production (quality, safety, latency, and cost).

Required qualifications, capabilities, and skills:

* Formal training or certification on software engineering concepts and 5+

years applied experience

* 10+ years of recent hands-on software development experience in large-scale

distributed systems, primarily JPython/Java/J2EE and modern Java/Spring Boot

microservices.

* 3+ years of experience developing in Linux environments.

* Demonstrated experience leading effective use of approved AI-assisted

software development tools (e.g., for coding, code review, test acceleration,

troubleshooting) with the ability to set team expectations for validating AI

outputs for correctness, performance, and security.

* Strong understanding of responsible AI use in engineering workflows,

including data sensitivity considerations, secure handling of inputs/outputs,

and adherence to resiliency and security expectations; experience coaching

engineers on safe, compliant adoption within delivery practices

* Strong experience with REST APIs and service-oriented / microservices

architecture.

* Strong Kubernetes orchestration experience (building, deploying, and

operating production services).

* Messaging expertise with Kafka, MQ, or similar platforms.

* Experience with backend infrastructure patterns (e.g., load balancing,

autoscaling).

* Experience with log analytics / observability tools (e.g., ELK, Splunk).

* AI/ML platform exposure (MLOps, feature engineering, model

hosting/operationalization; AWS and/or hybrid on-prem + cloud).

Preferred qualifications, capabilities, and skills:

* Strong communication skills and proven ability to influence across senior

technology and business stakeholders.

* Strong SDLC knowledge and agile ways of working, including CI/CD, application

resiliency, security, testing, and operational stability.

* Agentic AI experience preferred: building and operating LLM-driven agents

with tool integration, monitoring/telemetry, and governance/audit

considerations.

* Experience with NoSQL databases such as Cassandra (preferred).

* Experience with BERT, Transformer Model implementation

JPMorganChase, one of the oldest financial institutions, offers innovative

financial solutions to millions of consumers, small businesses and many of the

world’s most prominent corporate, institutional and government clients under the

J.P. Morgan and Chase brands. Our history spans over 200 years and today we are

a leader in investment banking, consumer and small business banking, commercial

banking, financial transaction processing and asset management.

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

[https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about

requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including

Disability/Veterans

Our Corporate Technology team relies on smart, driven people like you to develop

applications and provide tech support for all our corporate functions across our

network. Your efforts will touch lives all over the financial spectrum and

across all our divisions: Global Finance, Corporate Treasury, Risk Management,

Human Resources, Compliance, Legal, and within the Corporate Administrative

Office. You’ll be part of a team specifically built to meet and exceed our

evolving technology needs, as well as our technology controls agenda.