Agentic AI Data Lead Software Engineer

Join our team as a Lead Data Products Software Engineer responsible for

architecting, building, and scaling the Data Products Framework — a

next-generation platform that enables users to discover, design, build, and

productionize governed data products at enterprise scale. You will lead a team

of engineers, driving the technical strategy and execution of a platform that

orchestrates the end-to-end data product lifecycle leveraging AI/Agentic AI,

policy-based governance, and cloud-native architectures on AWS.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community

Banking Marketing Process Automation Team, 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

* Lead, mentor, and grow a high-performing team of 5 – 7 engineers across

multiple workstreams, fostering a culture of innovation, ownership, and

technical excellence.

* Set the technical vision and engineering roadmap for the Data Products

platform, aligning with firmwide priorities.

* Drive cross-functional collaboration with platform teams, domain Data Product

Owners, AI/ML teams and governance teams.

* Architect and own the end-to-end technical design of the Data Products Studio

— a scalable, enterprise-grade platform that orchestrates the discovery,

design, build, and productionization of data products from the CCB Data Lake

and Snowflake.

* Design the platform's AI/Agentic AI layer, leveraging intent agents, NLP

Text-to-SQL, Knowledge Graphs (KAG), RAG, Vector Databases, and

Agent-to-Agent (A2A) communication to enable intelligent, automated data

product creation and natural language interaction with the data estate.

* Define the platform's integration architecture with various firmwide systems

as appropriate.

* Establish and enforce architectural standards, design patterns, and

engineering best practices across the team — ensuring scalability, security,

resilience, and maintainability.

* Lead the design and development of Agentic AI capabilities that power the

Data Products Framework — including autonomous discovery agents that profile

and recommend data product candidates, design agents that auto-generate data

contracts and schema recommendations, build agents that generate and optimize

data pipelines, governance agents that auto-apply entitlements based on data

classification, and quality agents that detect anomalies, drift, and trigger

self-healing remediation.

* Architect the Agent-to-Agent communication layer enabling multi-agent

orchestration across the data product lifecycle — from discovery through

productionization.

* Leverage RAG (Retrieval Augmented Generation) and Vector Databases to enable

contextual, knowledge-grounded AI interactions with metadata, lineage, and

data catalog information.

* Implement NLP Text-to-SQL capabilities allowing business users to explore the

CCB Data Lake and Snowflake using natural language, lowering the barrier to

data product discovery.

Required qualifications, capabilities, and skills

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

years applied experience

* 10+ years of progressive experience in software engineering, data

engineering, or platform engineering

* Strong leadership experience in guiding and mentoring varying levels of

Software Engineers

* Proven track record of architecting and delivering large-scale,

enterprise-grade data platforms or frameworks from concept through production

in a large corporate environment

* Deep hands-on expertise in Python, SQL, and at least one additional language

(preferably Java 17+, Spring, Boot), with strong system design and

distributed systems knowledge

* Extensive experience designing, building, and optimizing ETL/ELT pipelines at

scale, including batch and real-time data processing.

* Strong proficiency in PySpark for distributed data processing, including

DataFrame and Dataset APIs and Spark SQL.

* Experience working with UI frameworks (React, Angular) will be an added

advantage.

* Extensive experience with AWS cloud services including S3, Athena, Glue,

Lambda, Step Functions, IAM, KMS, and Terraform.

* Basic knowledge of Snowflake (architecture, performance optimization, Tasks,

Streams, Stored Procedures, Materialized Views, security model) is preferred,

but not mandatory.

* Deep understanding of data governance principles including metadata

management, data lineage, access control (RBAC/ABAC), data classification,

and policy enforcement.

Preferred qualifications, capabilities, and skills

* Experience with Grafana or equivalent observability platforms for custom

dashboards, APM, SLA monitoring and alerting is a plus

* Experience working with UI frameworks (React, Angular) will be an added

advantage

Chase is a leading financial services firm, helping nearly half of America’s

households and small businesses achieve their financial goals through a broad

range of financial products. Our mission is to create engaged, lifelong

relationships and put our customers at the heart of everything we do. We also

help small businesses, nonprofits and cities grow, delivering solutions to solve

all their financial needs.

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.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a

range of financial services, including personal banking, credit cards,

mortgages, auto financing, investment advice, small business loans and payment

processing. We’re proud to lead the U.S. in credit card sales and deposit growth

and have the most-used digital solutions – all while ranking first in customer

satisfaction.