Applied AI ML Sr Associate Operations Tech

Join a team where you can turn cutting-edge AI into practical outcomes that improve how knowledge is created found and used. You will help build and scale applied AI solutions that automate workflows enhance decision-making and strengthen operational efficiency across our knowledge management and operations ecosystem.

As an Applied AI ML Associate Senior at JPMorganChase within Consumer & Community Banking Knowledge Management and Operations you will design and deliver production-grade AI solutions that apply Large Language Models Natural Language Processing and AI agents to real business workflows. You will collaborate with partners across product and operations to translate needs into measurable outcomes while building scalable services that are reliable secure and well-governed. Your work will directly improve knowledge discovery reduce manual effort and accelerate how teams serve customers and employees.

Job responsibilities

• Design build and deploy Python-based machine learning and natural language processing solutions that improve knowledge discovery and operational efficiency.
• Implement and productionize Large Language Model solutions including retrieval-augmented generation and AI agent workflows to automate high-volume repeatable processes.
• Develop and maintain data pipelines that curate transform and validate datasets used for model training and inference.
• Build and operate inference services and APIs on AWS optimizing for latency reliability and cost.
• Create evaluation and testing frameworks for LLM and NLP quality including automated scoring and human review workflows and use results to drive continuous improvement.
• Partner with product operations and subject matter experts to translate business problems into measurable ML outcomes success metrics and deployment-ready deliverables.
• Establish observability for AI services including monitoring alerting logging and drift detection and lead production issue triage and remediation.
• Apply responsible AI and data governance practices in solution design including privacy and security controls to support safe and scalable adoption.

Required qualifications capabilities and skills

• Formal training or certification on Applied AI/ML concepts and 3 years applied experience
• 3 years of applied experience building and delivering production-quality software in Python including testing and API development.
• 3 years of applied experience developing and deploying machine learning models including training evaluation and inference.
• Applied experience delivering NLP or LLM-enabled solutions (for example: embeddings retrieval and prompt engineering) in production environments.
• Experience building and operating cloud-based solutions on AWS including deployment automation and security fundamentals.
• Experience designing model evaluation and monitoring approaches including quality metrics and performance tracking.
• Strong problem-solving skills with the ability to break down ambiguous challenges into hypotheses experiments and deliverables.
• Strong communication skills and experience partnering cross-functionally to deliver outcomes in complex environments.

Preferred qualifications capabilities and skills

• Experience implementing retrieval-augmented generation systems including document chunking strategies vector search and relevance tuning.
• Experience building AI agent workflows that integrate LLMs with tools and APIs with robust guardrails and fallback behaviors.
• Familiarity with MLOps practices on AWS (for example: CI/CD for ML infrastructure as code and automated model deployments).
• Experience with large-scale data processing and orchestration patterns (batch and streaming) for ML pipelines.
• Experience with advanced evaluation methods for LLM applications (for example: regression suites synthetic test generation and human review workflows).
• Prior experience delivering AI-enabled knowledge management operations automation or enterprise