Applied Artifical Intelligence Sr. Associate

Aumni; Metro Manila; On-site; PHP 6,398,000 - 10,237,000; Full time

Job summary

JPMorgan Chase & Co. seeks an Applied AI senior associate in Home Lending to run experiments, build prototypes, and scale responsible AI adoption. You will partner with product and business teams to identify opportunities, develop practical recommendations, and enable governance-aligned solutions.

You will collaborate with governance, product, and technology stakeholders to turn ideas into production-ready capabilities, while documenting learnings for repeatable impact across teams.

Qualifications

• 3 years of experience integrating emerging technology into workflows, products, or operations.
• Experience running experiments, pilots, or proofs-of-concept with measurable success.
• Experience building prototypes using analytics or ML programming languages.
• Knowledge of ML concepts and models used in supervised learning and time series analysis.
• Experience using data analysis to develop insights and communicate recommendations.
• Ability to translate strategy into scoped work, plans, deliverables.
• Experience creating learning content and workshops for professionals.
• Strong communication and stakeholder management, including explaining trade-offs, risks, and recommendations.

Responsibilities

• Partner with stakeholders to identify AI opportunities aligned to business outcomes.
• Design and run experiments and pilots with clear success metrics (quality, cycle time, risk reduction, cost, customer experience).
• Develop prototypes and proofs-of-concepts using ML and deep learning techniques.
• Apply AI methods to speech recognition, NLP, and time series forecasting.
• Analyze data and translate insights into actionable recommendations and follow-up work.
• Collaborate with engineering and data teams to productionize validated prototypes when appropriate.
• Contribute to a structured intake and prioritization process for AI ideas, including stakeholder updates.
• Create and deliver enablement materials and workshops to build skills and adoption across teams.
• Document patterns and reusable approaches to apply AI consistently.
• Support responsible AI delivery by aligning solutions to governance, risk, and control expectations.
• Maintain data inputs/outputs for analytics systems to support performance.

Skills

Experiment design

Prototype development

ML concepts

Time series analysis

Data analysis

Stakeholder mgmt

Communication

Ambiguity handling

Training workshops

Python

SQL

Tools

Python

SQL

Job description

Help teams turn artificial intelligence into practical, measurable improvements. In this role, you will partner across product and business teams to test ideas quickly and scale what works. You will build prototypes that inform production solutions and create enablement that elevates how work gets done. You will also help teams adopt AI responsibly by aligning to appropriate governance and risk expectations. If you enjoy blending hands-on building, experimentation, and influence, this role is for you.

Job summary

As an Applied AI senior associate in Home Lending, you help teams across product and the business get more from AI. You run experiments to identify what improves outcomes, scale successful patterns through enablement and prototypes, and support leaders with practical recommendations on where to focus next. You also help steward responsible adoption by partnering with governance, product, and technology stakeholders.

Job responsibilities

• Partner with stakeholders to identify and shape AI opportunities aligned to business outcomes
• Design and run experiments and pilots with clear success metrics (e.g., quality, cycle time, risk reduction, cost, or customer experience)
• Develop prototypes and proof-of-concepts using machine learning and deep learning techniques
• Apply AI methods to problem areas such as speech recognition, natural language processing, and time series forecasting
• Analyze data and produce insights that translate into actionable recommendations and prioritized follow-up work
• Collaborate with engineering and data partners to harden validated prototypes into production-ready solutions when appropriate
• Contribute to a structured intake and prioritization process for business-driven AI ideas, including tracking and stakeholder updates
• Create and deliver enablement materials and workshops to build skills and adoption across teams
• Document patterns, lessons learned, and reusable approaches to help teams apply AI consistently and effectively
• Support responsible AI delivery by aligning solutions to applicable governance, risk, and control expectations
• Maintain data inputs to, and outputs from, relevant databases or analytical systems to support ongoing solution performance

Required qualifications, capabilities and skills

• 3 years of experience helping teams integrate emerging technology into business workflows, products, or operations
• Demonstrated experience running experiments, pilots, or proofs-of-concept with measurable success criteria
• Demonstrated experience building prototypes using programming languages commonly used for analytics or machine learning
• Working knowledge of machine learning concepts and model types used in supervised learning and time series analysis
• Experience using data analysis techniques to develop insights and communicate recommendations to stakeholders
• Ability to operate in ambiguity by translating strategy into scoped work, plans, and deliverables
• Demonstrated experience creating learning content and facilitating workshops for professional audiences
• Strong communication and stakeholder management skills, including explaining trade-offs, risks, and recommendations

Preferred qualifications, capabilities and skills

• Experience building or scaling enablement, accelerator, or adoption programs across multiple teams
• Experience partnering with governance, risk, controls, or similar stakeholders to support responsible AI delivery
• Experience supporting model evaluation approaches (e.g., test design, quality metrics, monitoring considerations)
• Experience contributing to multiple initiatives in parallel with clear prioritization and delivery discipline
• Evidence of continued learning through delivered projects, publications, or contributions to relevant professional communities

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 over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Run AI experiments, prototypes, and enablement to scale responsible adoption across Home Lending teams.