Applied Artifical Intelligence Sr. Associate

Help teams turn artificial intelligence into practical, measurable improvements. In this role, you will partner across product and business teams to test ideas quickly and scale what works. You will build prototypes that inform production solutions and create enablement that elevates how work gets done. You will also help teams adopt AI responsibly by aligning to appropriate governance and risk expectations. If you enjoy blending hands-on building, experimentation, and influence, this role is for you.
Job summary
As an Applied AI senior associate in Home Lending, you help teams across product and the business get more from AI. You run experiments to identify what improves outcomes, scale successful patterns through enablement and prototypes, and support leaders with practical recommendations on where to focus next. You also help steward responsible adoption by partnering with governance, product, and technology stakeholders.
Job responsibilities
Partner with stakeholders to identify and shape AI opportunities aligned to business outcomes
Design and run experiments and pilots with clear success metrics (e.g., quality, cycle time, risk reduction, cost, or customer experience)
Develop prototypes and proof-of-concepts using machine learning and deep learning techniques
Apply AI methods to problem areas such as speech recognition, natural language processing, and time series forecasting
Analyze data and produce insights that translate into actionable recommendations and prioritized follow-up work
Collaborate with engineering and data partners to harden validated prototypes into production-ready solutions when appropriate
Contribute to a structured intake and prioritization process for business-driven AI ideas, including tracking and stakeholder updates
Create and deliver enablement materials and workshops to build skills and adoption across teams
Document patterns, lessons learned, and reusable approaches to help teams apply AI consistently and effectively
Support responsible AI delivery by aligning solutions to applicable governance, risk, and control expectations
Maintain data inputs to, and outputs from, relevant databases or analytical systems to support ongoing solution performance
Required qualifications, capabilities and skills
3 years of experience helping teams integrate emerging technology into business workflows, products, or operations
Demonstrated experience running experiments, pilots, or proofs-of-concept with measurable success criteria
Demonstrated experience building prototypes using programming languages commonly used for analytics or machine learning
Working knowledge of machine learning concepts and model types used in supervised learning and time series analysis
Experience using data analysis techniques to develop insights and communicate recommendations to stakeholders
Ability to operate in ambiguity by translating strategy into scoped work, plans, and deliverables
Demonstrated experience creating learning content and facilitating workshops for professional audiences
Strong communication and stakeholder management skills, including explaining trade-offs, risks, and recommendations
Preferred qualifications, capabilities and skills
Experience building or scaling enablement, accelerator, or adoption programs across multiple teams
Experience partnering with governance, risk, controls, or similar stakeholders to support responsible AI delivery
Experience supporting model evaluation approaches (e.g., test design, quality metrics, monitoring considerations)
Experience contributing to multiple initiatives in parallel with clear prioritization and delivery discipline
Evidence of continued learning through delivered projects, publications, or contributions to relevant professional communities