SIGNUP

Job Opportunities

Find jobs near you, whether onsite, hybrid, or remote.
  • Similar Jobs to: Principal Applied Scientist, ML Codesign
XX
Vice President Principal Applied AI Data ScientistAumni • Jersey City, New Jersey, United States
Apply Now
XX

Vice President Principal Applied AI Data Scientist

Aumni
  • US
    Jersey City, New Jersey, United States
  • US
    Jersey City, New Jersey, United States
Apply Now

About

JPMorgan Chase’s Asset & Wealth Management Finance organization is advancing the frontier of agentic AI, deploying digital workers that transform forecasting, analytics, and decision support. As Vice President, you will lead the design, deployment, and scaling of large language model (LLM) agents and AI‑driven solutions, driving innovation and business impact across finance workflows. You will shape strategy, architect robust systems, and mentor teams to deliver trusted, actionable insights for complex financial questions.
Job responsibilities
Define and execute the roadmap for agentic AI and digital worker solutions in Finance, aligning with business priorities and emerging technologies.
Identify and prioritize high‑value use cases, translating ambiguous business challenges into measurable outcomes
Lead cross‑functional teams, collaborating with Finance, Product, Engineering, and Operations to deliver scalable, production‑grade AI solutions.
Architect, build, and scale LLM agents for finance workflows using advanced techniques such as LangGraph, retrieval augmented generation (RAG), multi‑agent orchestration, tool use, and multi‑step reasoning
Oversee the development of robust data and inference pipelines in Python and SQL; integrate agents with APIs, microservices, BI/reporting tools, and cloud platforms (AWS, Azure, GCP)
Leverage vector databases, embeddings, and distributed compute frameworks (e.g., Databricks, Snowflake, PySpark) for efficient retrieval and performance optimization.
Drive research and development initiatives, exploring Gen AI, Agentic AI, and autonomous workflow patterns.
Mentor and upskill teams; deliver enablement materials, documentation, and best practices for AI adoption.
Foster a culture of innovation, experimentation, and continuous improvement.
Translate model outputs into user‑friendly insights and analytics for end users, enabling data‑driven decision making.
Communicate complex technical concepts to senior stakeholders; deliver compelling data visualizations and narratives.
Required qualifications, capabilities and skills
8+ years in data/ML roles, including 4+ years building and operating production ML applications; hands‑on experience with LLMs.
Strong Python and SQL;
Practical knowledge of RAG, prompt engineering, fine‑tuning, function/tool calling, and vector stores.
Experience with cloud platforms (e.g., AWS, Azure, or GCP) and modern data stacks (e.g., Databricks or Snowflake).
Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design.
Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact.
Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations.
Preferred qualifications, capabilities and skills
Experience building multi‑agent systems, autonomous workflows, or task planners.
Knowledge of model safety, bias, and privacy techniques; experience with model risk management and governance.
Exposure to observability tools (logging, tracing, telemetry) and A/B testing.
Background integrating agents with BI/reporting and workflow tools; familiarity with Tableau or similar is a plus.
Experience with GPUs/accelerators, containerization, and infrastructure‑as‑code.
Experience with PySpark or distributed compute.
What success looks like
90 days: deliver a pilot finance agent with RAG and evaluation metrics, integrated with key data sources and APIs.
6 months: scale agents across multiple workflows, establish guardrails and monitoring, and demonstrate clear improvements in cycle time, accuracy, or user satisfaction.
Benefits and compensation We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
#J-18808-Ljbffr
  • Jersey City, New Jersey, United States

Languages

  • English
Notice for Users

This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.