Hybrid Senior Architect – AI, ML, Gen AI

at Bank of America

• Job title: Senior Architect – AI, ML, Gen AI
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Kafka, Spark, Yarn
• Location requirements: Hybrid, Addison, United States

About the role

• Leading architectural initiatives for advanced analytics platform at Bank of America. Empowering new AI initiatives across diverse organizational sectors.

Responsibilities

• Join a groundbreaking team at Bank of America, at the forefront of innovation in AI.
• We are building the next generation of Gen AI platform, empowering new AI initiatives across Consumer, Small Business, Global Banking, and Wealth organizations.
• This is a unique opportunity to contribute to a critical platform that will enable secure, scalable, and high-performance AI capabilities across the organization.
• Key responsibilities of the role include developing solutions and processes for multiple organizations based on their design/architectural/Agile/DevOps practices.
• This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services.
• Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements.
• Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap.

Requirements

• 8+ years of experience in platform development, architecture, and strategy for data science, modeling, advanced analytics, and Gen AI.
• Experience building E2E analytics platform focusing on self-service for as Data science, Big Data platform, Analytics etc.
• Experience building E2E ML pipelines: Data prep, Model Build, training models, Deployment, Scoring, Monitoring and Optimization
• Experience working with technical and line of business users to gather the requirements, writing BRD for building platform, brainstorm with different set of tech and non-tech audience, document the details with conceptual diagrams, validate the tech feasibilities of capabilities by researching and working with tech teams, architects, and engineers.
• Reviews technical designs to ensure that they are consistent with defined architecture principles, standards, and best practices.
• Own technical decisions for the solution and application developers in the creation of architectural decisions and artifacts.
• Ability to clearly communicate with team & stakeholders.
• Collaborate with product teams, data analysts and data scientists to design and build solutions.
• Strong understanding of modern open-source data science platform architecture for storage & compute separation, interactive development workbenches, virtual environments, containers, and toolsets.
• Hands-on experience on implementing CI/CD and automation using the Atlassian ecosystem.
• Knowledge of metadata management, data lineage, and principles of data governance
• Experience designing and building full stack solutions utilizing distributed computing architecture.
• Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN

Benefits

• competitive benefits to support their physical, emotional, and financial well-being.