Bank Of America Senior Architect-AI/ML/Gen AI 

United States, Texas, Addison 

553989362

Job Description:

This position is focused on leadership, technical direction, and oversight to multiple initiatives delivering Gen AI technology capabilities and solutions. 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.

Responsibilities:

• Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services
• Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates
• Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments
• Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable
• Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions
• Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products
• Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution. Accountable for the availability, stability, scalability, security, and recoverability enabled by the designs.

• Enables teams/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline.

• Guides and influences teams on design and best practices for high code performance –e.g. pairing, code reviews.

• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level.

• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features.

• Works with stakeholders to establish high-level solution needs and with architects for technical requirements.

• Collaborate with product teams, data analysts and data scientists to design and build solutions.

• Design and execute the implementation plans to both move forward strategically, while at the same time ensuring the current technology stack is supporting current needs.

• Manage multiple priorities, and simultaneously engage with multiple teams worldwide.

• Be vocal and actively participate in all session with business stakeholders and agile teams.

• Manage next generation of architectural decision for advanced analytics platform, create strategy, roadmaps, present to tech and non-tech leaders.

• Coach and mentor team members.

Required Qualifications

• 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.

• Manage next generation of architectural decision for advanced analytics platform, create strategy, roadmaps, present to tech and non-tech leaders.

• 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

Desired Qualifications

• Experience developing and delivering AI/ML, data, and analytics platform capabilities with open-source technologies, focusing on Gen AI – model serving, RAG frameworks, AI BI, MCP modules for enterprise data systems.

Skills:

• Analytical Thinking
• Architecture
• Result Orientation
• Solution Design
• Technical Strategy Development
• Application Development
• Collaboration
• Data Management
• DevOps Practices
• Risk Management
• Agile Practices
• Automation
• Influence
• Solution Delivery Process
• Test Engineering