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Chase · 13 hours ago

Applied AIML Lead, Vice President

3223 Hanover St, Palo Alto, CA, 94304, US

Full-time

Onsite

Mid, Senior Level

$164K/yr - $260K/yr

5+ years exp

JPMorgan Chase is one of the oldest financial institutions, offering innovative financial solutions across various sectors. The Applied AI/ML Researcher will lead technology research and development initiatives focused on advancing AI capabilities, collaborating with agile teams to drive innovation and establish best practices for AI integration.

BankingFinancial Services

Responsibilities

Conduct applied research and development on GenAI and agentic AI solutions to enhance developer productivity, CI/CD automation, observability, and operational resilience

Design, prototype, and evaluate AI-driven tools and frameworks that streamline engineering workflows, improve code quality, and accelerate technology delivery

Establish and promote best practices, reusable components, and common capabilities for integrating AI into technology platforms in a secure, stable, and scalable manner

Collaborate with agile engineering teams to identify opportunities for AI adoption, provide technical guidance, and support the implementation of innovative solutions

Develop and maintain policies, guardrails, and controls to ensure responsible, compliant, and auditable use of AI technologies within the enterprise

Monitor industry trends, emerging technologies, and best practices to inform strategic direction and maintain the firm’s leadership in AI-driven technology innovation

Communicate research findings, technical insights, and recommendations to both technical and non-technical stakeholders through clear documentation, presentations, and decision briefs

Qualification

Applied AI/ML researchPythonCI/CD pipelinesCloud platformsKubernetesGenAISecure software developmentInnovative thinkingCommunicationCross-functional collaboration

Required

Advanced degree in Computer Science, Engineering, or a related field, or equivalent practical experience

5+ years of experience in software engineering, applied AI/ML research, or technology R&D, with strong proficiency in Python and familiarity with modern development tools and cloud platforms (AWS, Azure, GCP)

Hands‑on experience with containers, Kubernetes, and infrastructure as code

Hands-on experience with GenAI, agentic AI, prompt engineering, function/tool calling, and integrating AI into developer and operational workflows

Deep understanding of CI/CD pipelines, developer productivity tooling, observability, and incident response in large-scale, regulated environments

Strong background in secure software development, data privacy, access controls, and compliance requirements

Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences and drive cross-functional collaboration

Demonstrated ability to innovate, challenge the status quo, and deliver impactful technology solutions in a fast-paced, enterprise setting