Lead Software Engineer - AI Application (Corporate Technology)

Job Description

Lead the architecture and hands-on delivery of scalable, production-grade agentic AI platforms and cloud-native AWS services for enterprise Finance workflows. Establish standards for evaluation, observability, security, reliability, and cost management while mentoring engineers and influencing technical direction across teams.

Requirements: Requires at least five years of applied software engineering experience, advanced Python skills, and a track record of architecting and shipping production LLM applications with agentic workflows, tool integrations, and RAG. Candidates must demonstrate technical leadership and safe, effective use of enterprise-authorized AI development tools, with experience in AWS cloud-native services and responsible AI practices.

Key Skills: Python, Generative AI, Agentic AI, Large Language Models, AWS, Amazon Bedrock, Google Vertex AI, LangChain, LangGraph, Retrieval-Augmented Generation, Vector Databases, Semantic Search, Prompt Management, Cloud-Native Architecture, Kubernetes, Technical Leadership

Benefits: Health Care Coverage, On-Site Health And Wellness Centers, Retirement Savings Plan, Backup Childcare, Tuition Reimbursement, Mental Health Support, Financial Coaching, Commission-Based Pay (Eligible Roles), Discretionary Incentive Compensation