Lead Software Engineer - Gen AI, Agentic AI, LLM, RAG
Wells Fargo22 hours ago
Hyderābād, IndiaStaff+
Responsibilities
- Lead complex, companywide technology initiatives and serve as the technical authority for assigned products and platforms.
- Design, code, test, debug, document, and review complex large-scale technology solutions.
- Develop engineering standards, architecture governance, code quality standards, and operational best practices.
- Design and implement Agentic AI platforms, RAG solutions, orchestration frameworks, and multi-agent systems.
- Lead projects and cross-functional engineering teams while mentoring senior and junior engineers.
- Resolve complex technical issues with technical experts, senior technology teams, and external industry groups.
- Influence strategic technology decisions and help define the organization’s AI engineering vision.
- Drive monitoring, resiliency, reliability, risk management, and compliance practices for technology solutions.
Requirements
- 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
- Experience designing and implementing Agentic AI platforms, RAG solutions, orchestration frameworks, and multi-agent systems.
- Experience with multi-model LLM strategies including Gemini, Claude, OpenAI, and proprietary enterprise models.
- Understanding of AI model governance, explainability, validation, security, and risk management in regulated environments.
- Experience with event-driven architecture, Kafka, streaming platforms, asynchronous integration patterns, cloud-native platforms, and modern application deployment architectures.
- Experience using or integrating AI-assisted development tools such as GitHub Copilot, Devin, Cursor, or similar platforms.
- Strong understanding of observability, production monitoring, resiliency engineering, and platform reliability.
- Experience in mortgage processes such as origination, underwriting, servicing, document processing, or default management.
- Knowledge of workflow automation, intelligent document processing, decision engines, and AI-driven business process optimization.
- Prior experience leading cross-functional engineering teams and contributing to enterprise architecture initiatives.
Tech Stack
Categories
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.