JPMorgan Chase is looking to lead applied AI and GenAI innovation at scale to deliver high-impact solutions that will define the next era of HR analytics, talent strategy, and employee experience for over 320,000 employees.
Requirements
- 10+ years hands-on experience in ML/GenAI model development and deployment
- Strong in AI/ML fundamentals, Statistics, and knowledge of classical AI and Algorithms
- Deep expertise in Python, TensorFlow, PyTorch, and cloud-native infrastructure (AWS, Databricks)
- Experience with NLP, LLMs, agentic workflows, and scalable ML architectures
- Familiarity with agentic workflows, LLMs, GenAI, and cloud platforms
- Proven ability to scale AI/ML solutions across complex, multi-stakeholder environments
- Strong problem-solving ability
Responsibilities
- Architect, build, and deploy ML/GenAI models (NLP, LLMs, RAG, agentic workflows) for HR analytics use cases
- Integrate solutions with HR data lake and cloud-native infrastructure (AWS, Databricks)
- Champion reusable ML assets, feature stores, and standardized pipelines
- Ensure understanding and adherence to controls and governance processes for model development and deployment
- Surface risks, drive closed-loop feedback, and optimize for scale, reliability, and performance
- Translate complex technical concepts into actionable business insights for senior HR, Tech, and Product stakeholders
- Lead, mentor, and develop a diverse team of Applied AI Practitioners, fostering collaboration, upskilling, and internal mobility
Other
- Proven leadership of technical teams in applied AI/ML
- Exceptional communication skills; able to influence and engage senior stakeholders
- Influence, engage, and drive alignment across functions
- Navigate cross-pillar dynamics and surface ROI/reputational impact
- Experience in financial services, Human Resources, or regulated industries
