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JobsJPMorgan Chase

Principal Software Engineer - Artificial Intelligence and Machine Learning

JPMorgan Chase

Principal Software Engineer - Artificial Intelligence and Machine Learning

JPMorgan Chase

OH, United States, US

·

On-site

·

Full-time

·

2mo ago

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As a Principal Software Engineer at JPMorgan Chase within the Consumer & Community Bank supporting One Chase Sales and Growth products, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.

Job responsibilities

  • Creates complex and scalable coding frameworks using appropriate software design frameworks
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Advises cross-functional teams on technological matters within AIML, SaaS based application domain
  • Serves as the function’s go-to subject matter expert
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
  • Creates durable, reusable software frameworks that are leveraged across teams and functions
  • Influences leaders and senior stakeholders across business, product, and technology teams
  • Provide hands-on technical expertise in the Design & Development of mission critical applications that can scale operate
  • Identify and mitigate technology-related risks by implementing robust security measures and compliance standards.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 10+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Expert in one or more programming language(s)
  • Advanced knowledge of AIML, Cloud software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines including SaaS applications e.g. Salesforce
  • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
  • Ability to present and effectively communicate with Senior Leaders and Executives
  • Experience in Computer Science, Computer Engineering, Artificial Intelligence or a related technical field
  • Proven track record with 10+ years in Tech Leadership role, leading mission critical applications
  • Expert knowledge and Hands-On experience building applications in cloud using modern programming, Kafka, API Gateways, relational database, observability tools

Preferred qualifications, capabilities, and skills

  • Practical cloud native experience and Certified in Public cloud (preferably AWS Solutions Architect – Associate or Professional)
  • Expertise in AI, ML implementation to build a highly scalable system
  • Expertise and In-depth knowledge in AWS Bedrock, AWS Cloud databases
  • Expertise using monitoring and alterting tools such as Dynatrace, splunk
  • Knowledge on Salesforce or other SaaS based application

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a Friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2 reports

$188,500

total / year

Base

$145,000

Stock

-

Bonus

-

$182,000

$195,000

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study