GenAI / Agentic AI Solution Architect

Responsibilities:

• Design end-to-end architectures for GenAI/LLM-based solutions across 100+ use cases
• Review requirements & business architecture documents and translate them into actionable solution designs
• Collaborate closely with TPMs and engineering teams to guide implementation, troubleshoot risks, and ensure alignment
• Create scalable, repeatable solution patterns, allowing reuse of components across pods and industries. (E.g., reusable release management agents across SAP/Oracle/Guidewire.)
• Balance speed over formality early on, while gradually contributing to future standardization across teams
• Support multi-shipment planning, contributing to feasibility assessments (POC -> MVP)
• Participate in an architecture guild/committee as standards mature

Requirements:

• 4-10 years experience in architecting or engineering AI powered systems: LLM-based applications, Retrieval augmented generation (RAG), Vector databases, Agentic workflows, Python-based AI stacks (LangChain, LangGraph, etc.)
• Ability to design flexible and modular architectures, not monolithic products
• Experience reviewing and validating multi-component solutions (data ingestion, ETL, AI layer, UI/UX where needed)

Nice to have:

• Strong problem-solving mindset with ability to propose pragmatic solutions quickly
• Comfortable working across time zones with U.S. architects and partners
• Curious, collaborative, and willing to share learnings in a community-of-practice setting
• Ability to support multiple pods simultaneously with consistent quality
• High technical credibility and ability to challenge & guide developers

Offer:

• Private medical care
• Co-financing for the sports card
• Training & learning opportunities
• Constant support of dedicated consultant
• Employee referral program