Lead AI product development and ownership within the Global Private Bank’s AI & Innovation team, designing prototypes, evaluating solutions, and driving Labs-to-Products transition.
Compensation
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.
Responsibilities
Design, code, and build AI prototypes hands‑on from end to end
Partner with advisors and business teams to identify high‑value problems and translate them into technical solutions
Own the product vision, priorities, and deliverables for AI innovation initiatives
Define and run evaluations that measure solution accuracy, reliability, risk, user experience, and business value
Work with Technology, Architecture, Data, Cybersecurity, and Controls to address security, privacy, data quality, auditability, and regulatory requirements
A seasoned professional to manage process transformation and automations within the Compliance, Risk Management & Partner Lifecycle team, leading transformational changes in collaboration with various stakeholders.
Responsibilities
Own the end-to-end Analytics/Automation roadmap, defining frameworks, experimentation standards, and high-impact product solutions
Design algorithms, build data driven applications to translate data into insights, and develop solutions for solving business problems
Apply a structured approach to facilitate problem solving, identify root causes, and guide stakeholders to make informed decisions
Defines and implements models to uncover patterns and predictions creating business value and innovation
Design and optimize data collection, transformation, and analytics pipelines to support scalable and reliable decision making
Support and enhance cloud-based platforms and infrastructure with a focus on Amazon Web Services (AWS) and infrastructure as code.
Compensation
$71,260.00 - $122,160.00 per year
Responsibilities
Manage the installation, configuration, and ongoing support of cloud infrastructure solutions.
Build, maintain, and optimize AWS resources and environments using infrastructure-as-code practices.
Develop and manage automation workflows and continuous integration/continuous deployment (CI/CD) processes.
Troubleshoot implementation issues, diagnose system performance concerns, and resolve technical problems.
Collaborate with developers to support platform integrations and software delivery requirements.
Requirements
Bachelor’s degree in Mathematics, Computer Science, Management Information Systems, Data Science, Analytics, or an equivalent combination of education and experience.
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS, integrating AI/ML solutions and managing LLMOps workflows.
Responsibilities
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS.
Integrate AI/ML solutions, including LLMs, embeddings, and agent frameworks, into production applications.
Collaborate with cross-functional teams to define project scope, design patterns, and technical strategy.
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS, integrating AI/ML solutions and deploying scalable cloud architectures on AWS.
Responsibilities
Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS.
Integrate AI/ML solutions, including LLMs, embeddings, and agent frameworks, into production applications.
Collaborate with cross-functional teams (product, data, AI, and architecture) to define project scope, design patterns, and technical strategy.
Build and operate scalable scientific data foundation connecting consumer, biological, OMICS, assay, formulation, and performance data; deliver reliable, traceable, scalable pipelines and services for analytics, computational biology, predictive modeling, and AI-supported discovery.
EngineerNewAssociated Bank · Remote, US
Data Platform Engineer, R&DProcter & Gamble · Singapore, Singapore