Applied AI ML Lead Vice President Accelerator Business
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Job Summary
Job Description:
Out of the successful launch of Chase in 2021 were a new team with a new mission. Were creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. Were people-first. We value collaboration curiosity and commitment.
As a Applied AI ML Lead at JPMorgan Chase within the Accelerator you are the heart of this venture focused on getting smart ideas into the hands of our customers. You have a curious mindset thrive in collaborative squads and are passionate about new technology. By your nature you are also solution-oriented commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects and depending on your strengths and interests youll have the opportunity to move between them.
While were looking for professional skills culture is just as important to us. We understand that everyones unique and that diversity of thought experience and background is what makes a good team great. By bringing people with different points of view together we can represent everyone and truly reflect the communities we serve. This way theres scope for you to make a huge difference on us as a company and on our clients and business partners around the world.
Job responsibilities:
Design and develop scalable self-service solutions for documentation SDKs configurations and pipelines to enable rapid deployment of GenAI applications and agents
- Implement tools and frameworks for model versioning experiment tracking and lifecycle management
- Develop systems to monitor model performance and address data and model drift
- Recommend best practices for model integration and deployment patterns
- Design and implement effective testing strategies including unit component integration end-to-end performance and champion/challenger tests
- Ensure platform compliance with data privacy security and regulatory standards
- Mentor team members on platform design principles and best practices
- Guide colleagues on coding practices design principles and implementation patterns for high-quality maintainable solutions
- Demonstrate proficiency in Java and/or Python programming languages
- Deploy production systems to GenAI platforms such as Google VertexAI OpenAI AWS Bedrock or LangChain
Utilize cloud technologies (AWS/Azure/GCP) distributed systems CI/CD tools infrastructure-as-code tools and containerization/orchestration tools (Docker Kubernetes) to operate support and secure mission-critical applications
Preferred qualifications capabilities and skills
Experience with MLOps tools and platforms such as MLflow Amazon SageMaker Google VertexAI Databricks BentoML KServe and Kubeflow
Exposure to cloud-native microservices architecture
Familiarity with advanced AI/ML concepts and protocols including Retrieval-Augmented Generation (RAG) agentic system architectures and Model Context Protocol (MCP)
Exposure to vector stores such as Pinecone GCP RAG engine and AWS S3 Vector Buckets
Previous experience deploying and managing ML models
Experience working in highly regulated environments or industries
#ICBCareer #ICBEngineering
Required Experience:
Exec
Key Skills
- Change Management
- Financial Services
- Growing Experience
- Managed Care
- Management Experience
- Analysis Skills
- Senior Leadership
- Performance Management
- Process Management
- Leadership Experience
- negotiation
- Analytics
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
