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Chase · 2 weeks ago

Senior Lead Solutions Engineer -Senior Lead Software Engineer - Data Technology AI/ML and GenAI

450 W 33rd St, New York, NY, 10001, US

Full-time

Onsite

Senior Level, Lead/Staff

$171K/yr - $260K/yr

5+ years exp

Chase is a leading financial institution, and they are seeking a Senior Lead Software Engineer within the Consumer & Community Banking in the Data Technology organization. The role involves enhancing, building, and delivering technology products while promoting the adoption of AI/ML & GenAI platforms and collaborating with various teams to develop solutions for business use cases.

BankingFinancial Services

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

Create solution prioritized use cases by evaluating approved architecture standards, platform capabilities and governance frameworks to scale the onboarding on the GenAI, ML and Data platforms

Develop blueprints or templates for efficient and automated customers onboarding to the platform for a quicker path to production

Participate in continuous prototyping of new technology to inform data technology teams on potential new tools to be integrated as part of the existing platforms

Partner with platform engineering and architecture to help evaluate the platform capabilities keeping performance, ease of use, integration, resilience and maintainability in mind

Manage a team of Data and ML Solutions Engineer to ensure the highest quality of code, processes, demos and solutions by participating in hands on design discussions, peer reviews and troubleshooting

Qualification

AI/ML solution designLarge-scale data transformationML pipelinesData Governance frameworksModern programming languagesData LakeNoSQL databasesStakeholder managementAI EthicsModel GovernanceData PrivacyMLOpsLLMOpsCommunication skills

Required

Formal training or certification on software engineering concepts and 5+ years applied experience

Extensive experience in AI/ML solution design, and large-scale data transformation programs within complex, highly regulated environments

Demonstrated success building both batch and real-time ML pipelines—including model training, serving, and monitoring—and automating workflows with orchestration tools (Airflow, Step Functions)

Strong understanding of Data Lake, relational and NoSQL databases, Data Governance frameworks, AI Ethics, Model Governance, Data Privacy

Hands on experience in developing, debugging, and maintaining code in large-scale environments using modern programming languages (e.g., PySpark, Python)

Exceptional communication and stakeholder-management skills, to serve as a subject matter expert for various advanced data and ML solutions