AI Applications Developer

JPMorganChase; Metro Manila; On-site; PHP 1,400,000 - 2,400,000; Full time

Job summary

JPMorganChase in Metro Manila is seeking an AI Applications Developer to design and deliver scalable AI-powered applications. You will work with product, data, engineering, and governance teams to productionize model-driven capabilities, ensuring security, reliability, and responsible use across platforms.

You will collaborate on end-to-end workflows, from discovery to production, applying modern model-driven approaches and continuous learning to improve quality and impact.

Qualifications

• Production experience building AI-enabled apps.
• Professional Python development experience.
• Hands-on experience with large language models and prompts.
• Experience implementing agent frameworks.
• Experience with retrieval-augmented generation.
• Containerized development and deployment experience.
• Experience with AWS core services for data/workloads.
• Strong secure development practices and data handling.
• Ability to translate business problems into technical designs and milestones.
• Strong analytical and problem-solving skills.

Responsibilities

• Design and deliver production-grade AI apps using LLMs and analytics.
• Build agent-based systems to plan and execute workflows across tools.
• Develop prompts, evaluation methods, and guardrails for reliability.
• Implement retrieval-augmented patterns for grounded outputs.
• Integrate apps with cloud services, data stores, and APIs.
• Collaborate with cross-functional teams to define requirements.
• Apply secure-by-design practices across development lifecycle.
• Create automated tests, monitoring, and observability in production.
• Document architectures and runbooks for support and reuse.
• Troubleshoot performance, latency, and model quality; iterate improvements.
• Stay current on generative/agent-based advances and translate to solutions.

Skills

Python

LLMs

Prompt Design

RAG

Docker

AWS

Kubernetes

Security

Data Pipelines

Collaboration

Model Deployment

Education

Bachelor's in CS/Engineering

Tools

Docker

AWS

Kubernetes

Git

Job description

Job Description

Help shape how intelligent technology delivers real outcomes across the business. In this role, you will turn challenging problems into secure, scalable applications powered by artificial intelligence and advanced analytics. You will work alongside experts across product, data, engineering, and governance to deliver solutions that matter. If you enjoy moving from concept to production and seeing measurable impact, you will thrive here. Join us as we build the next generation of intelligent capabilities.

Job Description

Help shape how intelligent technology delivers real outcomes across the business. In this role, you will turn challenging problems into secure, scalable applications powered by artificial intelligence and advanced analytics. You will work alongside experts across product, data, engineering, and governance to deliver solutions that matter. If you enjoy moving from concept to production and seeing measurable impact, you will thrive here. Join us as we build the next generation of intelligent capabilities.
As an AI Applications Developer in the AI Solutions Team, you will design, build, and deliver intelligent applications that transform business needs into measurable outcomes. You will partner with cross-functional teams to integrate modern model-driven capabilities into our platforms, from discovery through production. You will help ensure our solutions are secure, scalable, and aligned to responsible and compliant use. You will continuously learn and apply emerging approaches to improve quality, speed, and impact.

Job Responsibilities

• Design and deliver production-grade applications powered by large language models and advanced analytics
• Build agent-based systems that plan, decompose, and execute complex workflows across tools and services
• Develop and optimize prompts, evaluation methods, and guardrails to improve reliability and user outcomes
• Implement retrieval-augmented generation patterns to ground model responses in trusted data sources
• Integrate applications with cloud services, data stores, and APIs to support end-to-end workflows
• Partner with product, data, engineering, and governance teams to define requirements and deliver solutions
• Apply secure-by-design practices, including access controls, data protection, and auditability throughout development
• Create automated tests, monitoring, and observability to improve quality, safety, and operability in production
• Document architectures, decisions, and runbooks to enable supportability and reuse across teams
• Troubleshoot performance, latency, and model quality issues and deliver iterative improvements
• Stay current on advances in generative and agent-based approaches and translate them into practical solutions
  

Required Qualifications, Capabilities, And Skills

• Professional experience building and deploying modern applications in a production environment
• Hands-on Python development experience, including writing maintainable, testable code
• Demonstrated experience building intelligent applications using large language models, including prompt design and systematic evaluation
• Demonstrated experience implementing agent frameworks (for example, Google Agent Development Kit or similar)
• Demonstrated experience with retrieval-augmented generation solutions (indexing, retrieval strategies, grounding, and citations)
• Hands-on experience with containerized development and deployment (for example, Docker and orchestration platforms)
• Hands-on experience with Amazon Web Services core services for data and application workloads (for example, managed compute, storage, databases, and serverless)
• Strong understanding of secure development practices, including identity and access controls and data handling principles
• Ability to translate ambiguous business problems into technical designs, milestones, and measurable outcomes
• Strong analytical and problem-solving skills, including root-cause analysis in production systems

Preferred Qualifications, Capabilities, And Skills

• Experience deploying and operating solutions on Kubernetes (for example, Amazon Elastic Kubernetes Service)
• Experience with Amazon Bedrock or similar managed model platforms and orchestration patterns
• Experience building data pipelines and analytics workflows (for example, AWS Glue and Amazon Athena)
• Experience with relational database design and performance tuning (for example, Amazon Relational Database Service)
• Experience implementing model fine-tuning or adaptation techniques with clear evaluation and governance
• Experience partnering with risk, controls, privacy, and compliance teams on model-enabled products
• Experience mentoring engineers and establishing team development standards and reusable patterns
• Preferred experience supporting more than one Line of Business.

ABOUT US

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.

About The Team

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. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.