Senior Lead Software Engineer
About The Position
As a Senior Lead Software Engineer at JPMorgan Chase within the AIML Data Platforms team in the Chief Data & Analytics Office (CDAO), you will provide technical leadership, coaching, and advisory support to multiple technical teams. You will help advance the firm’s data and analytics capabilities, anticipating cross-functional needs and dependencies and influencing budget and technical considerations to improve operational efficiency and functionality. The role focuses on leading enterprise AI/ML engineering teams and delivering scalable platforms, data pipelines, and AI products. It involves applying generative AI, NLP, and other machine learning technologies while aligning initiatives and technology decisions with business objectives and industry trends.
Requirements
- Formal training in software engineering, data science, or a related field, with 5 or more years of experience.
- Experience leading teams building production AI/ML systems at scale.
- Proficiency in Java for client-side and server-side application development.
- Proficiency in HTML, CSS, and modern front-end web technologies.
- Experience with cloud platforms such as AWS, Azure, or GCP, and with MLOps practices.
- In-depth knowledge of the financial services industry and AI/ML applications in enterprise contexts.
- Strong ability to communicate complex AI/ML concepts to technical and business stakeholders.
Nice To Haves
- Experience working at code level.
- Experience with Agile transformation initiatives.
- Track record of building and scaling engineering teams.
- Experience with cloud architecture and migration strategies.
Responsibilities
- Provide technical leadership and strategic direction for AI/ML engineering teams developing enterprise AI solutions.
- Drive the architecture and implementation of scalable machine learning platforms and data pipelines.
- Ensure successful delivery of AI products using generative AI, NLP, and other ML technologies.
- Identify and prioritize AI/ML initiatives aligned with business objectives and industry trends.
- Provide input on technology roadmaps, build-versus-buy decisions, and ML infrastructure investments.
- Foster a culture of innovation, experimentation, and continuous learning in AI/ML practices.
- Provide technical coaching and advisory support to multiple technical teams.
- Anticipate the needs and potential dependencies of other functions within the firm.
Benefits
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
- Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
