AI Software Engineer III- PySpark, Python, AWS at JPMC Candidate Experience page

Jersey City, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

185000.0

Posted On

16 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, AWS, GenAI, LLM, ML Ops, SQL, NoSQL, CI/CD, System Design, Scikit-learn, PyTorch, TensorFlow, Jenkins, GitLab, Agile

Industry

Financial Services

Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a AI Software Engineer III- PySpark, Python, AWS at JPMorganChase within the Asset and Wealth Management Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology solutions in the business intelligence, AI and reporting space in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities * Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems * Develops secure high-quality production code to build unified data model, business intelligence, reporting and AI/ML solutions to ensure seamless integration into business workflows. * Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development * Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems * Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture * Contributes to software engineering communities of practice and events that explore new and emerging technologies * Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills * Formal training or certification in software engineering concepts with 3+ years of applied experience * Hands-on practical experience in system design, application development, testing, and operational stability * Extensive hands-on Python and PySpark experience * Experience with major cloud platforms (AWS/Azure/GCP) and big-data services (e.g., AWS EMR, Redshift, Lambda, S3) * Experience developing multi model LLM systems, GenAI tools, ML Model lifecycle, AI coding assist tools, and cloud-native ML Ops pipelines and frameworks * Familiar with Python-based ML libraries (e.g., Scikit-learn, PyTorch, TensorFlow) and ability to work with data scientists to operationalize models * Proficiency with DevOps/CI/CD (e.g., Jenkins/GitLab) plus strong SQL/NoSQL skills, including performance tuning/optimization * Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages * Overall knowledge of the Software Development Life Cycle * Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills * Familiarity with data visualization tools and data integration patterns * Experience with cloud lake house platforms like Snowflake and/or Databricks * In-depth knowledge of the financial services industry and their IT systems * Experience with declarative infra provisioning tools like Terraform, Ansible or CloudFormation 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

Responsibilities

Design and deliver scalable AI, business intelligence, and reporting solutions within the Asset and Wealth Management Technology team. Develop secure production code for unified data models and operationalize ML models into business workflows.