AI/ML Growth & Adoption Senior Associate

JPMorgan Chase & Co.; Buenos Aires; Presencial; ARS 136.577.000 - 197.278.000; Jornada completa

Descripción de la vacante

JPMorgan Chase & Co. in Buenos Aires seeks an Applied AI/ML Associate Sr to lead go-to-market, drive adoption, and deliver measurable impact for AI/ML products. You will build PoCs, dashboards, and engaging narratives for stakeholders, translating user feedback into product improvements.

The role emphasizes hands-on AI/ML work, collaboration with Product and Engineering, and responsible AI practices, with opportunities to shape enterprise AI solutions.

Formación

• Experience in go-to-market strategy, product marketing, user engagement, or adoption/enablement for technical or AI/ML products.
• Experience collecting and synthesizing user feedback and strong analytical skills to track adoption, satisfaction, and business impact metrics and demonstrate ROI.
• Familiarity with AI/ML and Generative AI concepts, including LLMs/SLMs, agent skills, prompt engineering, tool creation, connecting agents to services, and LLM evaluation (test cases, agent eval, LangSmith, metrics).
• Hands-on ability to build AI/ML PoCs and agentic workflows, including debugging latency and bottlenecks, with an understanding of the Bedrock platform and guardrails.
• Strong coding skills in Python, including building agents with LangChain, mounting RESTful APIs with FastAPI, data modeling with Pydantic, unit testing with Pytest, Boto3 for AWS, package managers (pip, poetry, uv), and autoformatting/linting best practices.
• Experience developing applications, web interfaces, and dashboards to visualize and report metrics, using RESTful APIs, asynchronous Python, and data wrangling with SQL.
• Excellent communication, storytelling, and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences.
• Excellent problem‑solving skills and the ability to work in a collaborative team environment.
• Fluent in English

Responsabilidades

• Identify and engage key user personas and stakeholders, tailoring messaging and outreach to their unique workflows, pain points, and responsibilities.
• Communicate tailored value propositions that highlight core benefits—such as improved efficiency, reduced resolution time, better visibility, and actionable insights—for each persona.
• Maximize engagement across digital platforms and channels (documentation, email, webinars, events), sharing use cases and success stories that demonstrate practical impact.
• Collect structured user feedback through surveys, training sessions, interviews, and in-product tools to understand adoption barriers and inform product improvements.
• Adapt the go-to-market approach continuously based on user feedback, adoption patterns, market trends, and competitive dynamics.
• Track key success metrics—adoption rates, user satisfaction, engagement, and business impact—to measure effectiveness and demonstrate ROI to stakeholders.
• Build and demonstrate AI/ML and Generative AI proofs of concept (PoCs) to showcase product capabilities and validate use cases with users.
• Develop supporting applications, web interfaces, and dashboards that capture, visualize, and report adoption and success metrics.
• Partner with Product and Engineering teams to translate user feedback into product improvements and ensure solutions are effectively marketed and adopted.
• Champion responsible AI principles, including transparency, bias mitigation, and ethical use, across messaging, demonstrations, and product adoption.

Conocimientos

Go-to-market

User feedback analysis

AI/ML concepts

AI PoCs

Python development

Web dashboards

Stakeholder mgmt

Problem solving

English

Herramientas

LangChain

FastAPI

Pydantic

Pytest

Boto3

Terraform

Docker

GitHub Actions

GitLab CI/CD

Descripción del empleo

JPMorgan Chase & Co. in Buenos Aires seeks an Applied AI/ML Associate Sr to lead go-to-market, drive adoption, and deliver measurable impact for AI/ML products. You will build PoCs, dashboards, and engaging narratives for stakeholders, translating user feedback into product improvements.

The role emphasizes hands-on AI/ML work, collaboration with Product and Engineering, and responsible AI practices, with opportunities to shape enterprise AI solutions.