Strategic Initiative Lead – Regulatory Data, Digital and AI
Sanofi
Senior Architect – AI, ML, Gen AI
Bank of America
full-time
Posted on:
Location Type: Hybrid
Location: Addison • New Jersey, North Carolina • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
KafkaSparkYarn
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
platform developmentarchitecturedata scienceadvanced analyticsE2E ML pipelinesdata preparationmodel buildingmodel trainingmodel deploymentdata governance
Soft skills
communicationcollaborationstakeholder engagementrequirement gatheringtechnical decision makingdocumentationbrainstormingvalidation of technical feasibility
