Top AI & Machine Learning Jobs

Lead AI strategy and enablement for the enterprise data reporting platform; design LLM-enabled capabilities, govern outputs, embed Responsible AI controls, drive adoption from pilot to production, and partner across business, tech, risk, and data teams to realize measurable risk and analytics value.

Lead product strategy and roadmap for Agentic AI, automation, and intelligent workflows in HR. Identify opportunities, evaluate technologies and vendors, build reusable platforms, drive adoption, establish governance and responsible AI practices, and deliver measurable business outcomes in partnership with HR, Technology, Risk, and Data Science.

Design, build, and productionize GenAI applications: develop LangChain/LangGraph agentic workflows, RAG ingestion and retrieval pipelines, configure vector databases, deploy services on Google Vertex AI, implement backend APIs (Python/Node), build frontend components (React/Next.js), and contribute to observability, CI/CD, security, and cross-team delivery.

Lead and execute advanced analytics, machine learning, and AI initiatives to drive growth and retention for affluent banking customers. Partner with product, marketing, risk, and finance to develop segmentation, predictive models, and data-driven strategies. Clean and validate large datasets, design algorithms for structured and unstructured data, and present executive-ready insights to influence business decisions.

Lead enterprise AI product strategy and delivery, designing human-AI interactions, governance-aligned operating models, and reusable AI patterns. Partner with engineering, data science, risk, and governance to translate business needs into AI use cases, drive discovery, ensure SDLC/MDLC compliance, and implement scalable solutions that improve operations, trust, and customer outcomes across the enterprise.

Lead advanced analytics, machine learning, and AI projects for affluent banking customers. Analyze large structured and unstructured data, build statistical and ML models, run experiments, and translate insights into business recommendations. Partner with product, marketing, risk, finance and strategy teams, mentor junior staff, and communicate results to non-technical stakeholders.

Lead product strategy and delivery for enterprise AI solutions, defining human-AI interaction, governance-aligned roadmaps, UX design, and implementation plans. Partner with engineering, data science, risk, and governance to translate business needs into AI use cases, ensure SDLC/MDLC compliance, perform current-state assessments, mitigate risk, and drive scalable AI operating models and reusable patterns across the organization.

Lead enterprise AI product strategy and delivery: define roadmaps, human-AI interaction models, and AI operating frameworks. Partner with engineering, data science, risk, and governance to translate business needs into compliant AI use cases, ensure SDLC/MDLC adherence, drive UX design, validate models, manage change impact, and establish reusable AI patterns and controls to scale AI-enabled workflows across the organization.

Lead product strategy and delivery for enterprise AI solutions, defining human-AI interaction models, governance, and reusable AI patterns. Partner with engineering, data science, risk, and UX to translate business needs into AI use cases, manage discovery through deployment, ensure SDLC/MDLC compliance, conduct current-state assessments, and drive capability gap closure to modernize workflows and deliver measurable business outcomes.

Lead product strategy, roadmap, and delivery of enterprise AI solutions. Define human-AI interaction models, translate business needs into AI use cases, ensure governance and regulatory compliance, partner with engineering, data science, and risk teams, drive UX and design thinking, and create scalable AI frameworks and operating models to modernize workflows and deliver measurable business outcomes.