remote
Applied AI ML Lead - JPMorganChase
Software Engineer
Lead end‑to‑end generative and agentic AI initiatives, designing, evaluating, and deploying foundation models to enhance decision‑making and automation across the technology organization.
About the role
Key Responsibilities
- Architect and deliver end‑to‑end generative AI and agentic AI solutions, from research to production, ensuring scalability and robustness.
- Collaborate with product, engineering, and risk teams to define measurable outcomes and align AI capabilities with business objectives.
- Lead model evaluation, performance monitoring, and continuous improvement, incorporating best practices in reliability and governance.
- Champion responsible AI principles, ensuring transparency, fairness, and compliance across all deployments.
- Mentor and guide cross‑functional teams on AI strategy, tooling, and technical execution.
Requirements
- Extensive experience in Python and advanced machine learning, with a strong focus on generative AI and foundation models.
- Proven track record of deploying AI solutions at scale, preferably in a financial services environment.
- Deep understanding of cloud platforms (AWS) and associated AI/ML services.
- Excellent communication skills, able to translate complex technical concepts to non‑technical stakeholders.
- Strong leadership and project management abilities, with a collaborative mindset.
Skills
pythonmachine learninggenerative aiaws