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hackajob · 8 hours ago

Lead Solution Engineer - Lead Software Engineer - AI/ML, GenAI and Data Technology

Plano, TX

Full-time

Onsite

Senior Level, Lead/Staff

$152K/yr - $215K/yr

5+ years exp

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Lead Software Engineer at JPMorgan Chase, you will enhance and deliver technology products while promoting the adoption of AI/ML and GenAI platforms. You will collaborate with various teams to develop solutions that facilitate platform adoption and improve customer experience.

Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware

Responsibilities

Executes creative 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, and reviews and debugs code written by others

Adds to team culture of diversity, opportunity, inclusion, and respect

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

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 customer, stakeholders and product to understand the business needs and translate them into technical details and implementation

Find opportunities for automation, efficiencies and opportunities for a seamless customer experience, supporting their GenAI, AI/ML and Data initiatives

Keep tabs on best practices and technology advancements in the industry and influence their integration within the firm

Qualification

AI/ML solution designGenAI frameworksModel OrchestrationPythonData management best practicesSnowflakeData bricksSoftware engineering certificationTechnical troubleshootingPresentation skills

Required

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

Extensive experience in AI/ML and GenAI solution design using different tools and techniques - GenAI frameworks, RAG architecture, Model Orchestration and Serving, model Experimentation etc

Experience working with data science, AI/ML product teams, working on projects covering the AI/ML and GenAI lifecycle

Comfortable presenting to Product Leadership, articulating team solutions, cross-functional dependencies, and risk exposures across technology, architecture, and data

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