JPMorgan Senior Lead Architect Model Implementation 

United States, Delaware, Wilmington 

945160895

Job responsibilities

• Collaborates with technology, business, and product teams to evaluate and deliver solutions for executing machine learning workloads.
• Designs creative software solutions and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Defines the north star architecture of their product and drives achievement of the strategy.
• Partners with x-LOB architecture teams and Chief Architecture Office group to ensure solution alignment with organization’s goals and objectives.
• Facilitates evaluation sessions with external vendors, startups, and internal teams to drive outcomes through probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
• Uses advanced communication, facilitation, and presentation skills to manage and influence stakeholders. Has the ability to frame messages for different audiences and "tell the story."
• Influences peers and project decision-makers to consider the use and application of new & leading-edge technologies. Advises junior architects and technologists.
• Adds to team culture of diversity, equity, inclusion, and respect.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more technologies - e.g., Java, Python, Spring, PySpark, Spring Boot.
• Advanced in one or more engineering disciplines – microservices, event processing, ETL.
• Practical cloud-native experience, particularly in AWS.
• Solid understanding and practical experience with model development lifecycle (MDLC), including data acquisition & preparation, model experimentation, training & testing and serving / MLOps
• Possess excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at various levels within the organization.

Preferred Qualifications, Capabilities, and Skills

• AWS certification – Associate/Professional Solution Architect or AWS AI Practitioner preferred
• Bachelors degree in Engineering or equivalent is preferred
• Theoretical knowledge or hands-on experience with model building/ML engineering, including fine-tuning of Large Language Models (LLMs).
• Knowledge of cloud infrastructure as code (IaC), such as Terraform.