Job Ad - GenAI / Agentic AI Solution Architect

The Solution Architect designs AI-driven, LLM-based technical solutions across multiple pods, responsible for interpreting business requirements, shaping architectural approaches, and ensuring solutions follow emerging standards to support high-volume demand.

• 4-10 years experience in architecting or engineering AI-powered systems.
• Experience with LLM-based applications.
• Knowledge of retrieval-augmented generation (RAG).
• Experience with vector databases.
• Familiarity with agentic workflows.
• Proficiency in Python-based AI stacks (e.g., LangChain, LangGraph).
• Ability to design flexible and modular architectures.
• Experience reviewing and validating multi-component solutions (data ingestion, ETL, AI layer, UI/UX).

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 and guide developers.

• Design end-to-end architectures for GenAI/LLM-based solutions across 100+ use cases.
• Review requirements and 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 for reuse across pods and industries.
• Balance speed over formality early on, contributing to future standardization across teams.
• Support multi-shipment planning, contributing to feasibility assessments (POC to MVP).
• Participate in an architecture guild/committee as standards mature.

This position may involve remote work opportunities along with collaboration in multi-regional settings.