Principal Applied AI ML Engineer

Seattle, WA, US • Posted 16 days ago • Updated 1 hour ago
Full Time
On-site
USD $223,250.00 - 325,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Software Engineering
  • Product Management
  • Innovation
  • Rapid Prototyping
  • Distributed Computing
  • Big Data
  • Workflow
  • Automated Testing
  • Caching
  • Unstructured Data
  • Meta-data Management
  • Access Control
  • Design Review
  • Python
  • PyTorch
  • TensorFlow
  • Data Storage
  • Microservices
  • Machine Learning Operations (ML Ops)
  • Continuous Integration
  • Continuous Delivery
  • Incident Management
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Performance Tuning
  • Operational Excellence
  • Communication
  • Collaboration
  • Legal
  • Regulatory Compliance
  • Machine Learning (ML)
  • Adapter
  • Evaluation
  • Artificial Intelligence
  • Prompt Engineering
  • Orchestration
  • Auditing
  • Mentorship
  • Roadmaps
  • Insurance
  • Health Care
  • Backup
  • Finance
  • Coaching
  • Recruiting
  • SAP BASIS
  • Law
  • Financial Services
  • Banking
  • Financing
  • Payment Processing
  • Credit Cards
  • Sales
  • Customer Satisfaction
  • Management

Summary

Job Description

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.

As a Principal AI/ML at JPMorgan Chase within the Corporate Sector - AI/ML & Data Platforms, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery.

You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key.

Job Responsibilities
  • Design and implement agentic AI reference architectures, including orchestration, retrieval, memory, guardrails, and evaluation harnesses.
  • Write production-quality Python code (PyTorch or TensorFlow as needed) and review critical-path code
  • Create reusable components for prompt management, evaluators, safety filters, connectors, embeddings pipelines, and memory stores
  • Build and operate LLM-powered APIs and microservices integrated into advisor, client, and internal workflows
  • Own the end-to-end ML lifecycle: experimentation, CI/CD, automated testing, monitoring, drift detection, versioning, and rollback
  • Optimize inference for latency, throughput, caching, batching, model selection, and cost per inference
  • Partner with data teams on structured and unstructured data pipelines, document ingestion, metadata, and access controls
  • Embed responsible AI practices: safety, policy enforcement, audit logging, explainability, and monitoring
  • Set engineering standards for agentic AI systems and lead design reviews
  • Mentor senior engineers through code reviews and architecture discussions
  • Influence roadmap and priorities through technical insight and delivery

Required Qualifications, Capabilities, and Skills:
  • 10 years of experience building applied machine learning systems, with recent hands-on work in LLMs or agentic AI
  • Strong Python engineering skills; experience with PyTorch or TensorFlow
  • Expertise working with Vector storage systems and designing memory for Agents
  • Expertise developing long running agents that run autonomously using tools, skills and human in the loop
  • Proven experience deploying LLM-backed services to production (APIs, microservices)
  • Deep MLOps experience, including CI/CD, monitoring, incident response, and model governance
  • Cloud-native AI deployment experience (AWS or Azure), with cost and performance optimization
  • Ability to lead technically and influence outcomes without formal authority
  • Experience creating reusable platforms and patterns that accelerate delivery
  • Demonstrated commitment to responsible AI practices and operational excellence
  • Strong communication and collaboration skills, working across product, risk, legal, and compliance teams
  • Experience optimizing inference and ML system performance

Preferred Qualifications, Capabilities, and Skills:
  • Experience with fine-tuning, adapters, or custom evaluation frameworks
  • Background operating AI systems in regulated environments (finance, healthcare, etc.)
  • Experience with prompt engineering and LLM orchestration
  • Knowledge of safety filters, audit logging, and explainability in production systems
  • Experience mentoring senior engineers and leading architecture discussions
  • Demonstrated ability to influence technical roadmaps and priorities

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.

#LI-RB3

#AIMLTECH

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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.

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.

Equal Opportunity Employer/Disability/Veterans

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.

Operations teams develop and manage innovative, secure service solutions to meet clients' needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10125746
  • Position Id: 2a05527e9b654fc3a9ddaca8fa24844b
  • Posted 16 days ago
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