AI Enterprise Architect - Full Time - Remote
• 12 15 years of experience in AI/ML-related roles, with strong experience in LLMs & Agentic AI (architecture, governance, platform strategy) • 3 5 years: Experience designing enterprise AI solutions including Gemini/Vertex AI, agent applications, RAG pipelines, grounding/data connectors, LLM orchestration, and model governance • 5 7 years: Strong expertise designing ingestion frameworks, APIs, data normalization, semantic search, attributelevel & recordlevel access control, PII masking, and connector factory patterns • Handson experience with Vertex AI, Gemini Enterprise (Agentspace), Vector Search/Matching Engine, Functions, Cloud Run, IAM, Secret Manager and Kubernetes • 2 3 years: Experience defining multiagent coordination flows, intent routing, graceful handoff, context propagation, LangChain/LangGraph/DSPy patterns • Strong knowledge of embedding pipelines, grounding strategies, retrieval optimization, hybrid search, schemaaware context construction • 2 3 years: Handson experience implementing LLM governance, safety patterns, content moderation, policy enforcement, auditability, model drift tracking • Secondary Skills Knowledge of MCP s and A2A SDK; Version Control: Proficiency with version control tools like Git; Experience in Agile Methodologies/development environments Apply tot his job Apply tot his job
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