Lead AI and Analytics Engineer

Skills and Experience Required

• Typically, 9+ years of experience in traditional ML, LLM powered Gen AI products, data engineering, analytics, and automation
• Demonstrated experience leading technical architecture and delivery across multiple complex enterprise projects.
• Advanced SQL capability for data transformation, data quality, modeling, and performance optimization.
• Strong hands-on expertise in working with Databricks or equivalent cloud analytics platforms, including SQL, Python, notebooks, workflows, pipelines, and production deployment.
• Power BI experience, including data modeling, semantic models, DAX, performance optimization, dashboard design, security, and refresh architecture.
• Experience building reusable data models, data pipelines, engineering frameworks, and accelerators for enterprise products.
• Experience building LLM-powered products using OpenAI or other enterprise LLM models, including prompt design, retrieval, grounding, evaluation, and responsible AI practices.
• Strong understanding of scalable data architecture, secure software-development practices, automation, and enterprise integration patterns.
• Experience using GitHub or similar version-control and CI/CD platforms.
• Ability to communicate technical concepts, trade-offs, and recommendations to Finance stakeholders.
• Proven ability to mentor technical professionals and influence technical standards across teams.

Equal Opportunity Employer (EEO) -