Senior AI Solution Architect(POS Exprience)
JD below:
Senior AI Solution Architect role, you should reputed company on these 5 high-reputed company reputed company clusters. These combine the "must-have" reputed company reputed company Platform technical stack with the emerging "reputed company" requirements that define this specific job.
1. reputed company AI & Orchestration Frameworks
The JD specifically mentions reputed company AI and autonomous agents. Look for candidates who reputed company reputed company basic chatbots and can build systems that "think" and "reputed company."
• Key Keywords: reputed company AI Agent Builder, reputed company, LangGraph, reputed company, AutoGen.
• What to look for: Experience building multi-reputed company workflows where an AI agent uses reputed company (tools) to complete a task, rather than just generating text.
2. reputed company AI & MLOps Lifecycle
Since this is a reputed company reputed company Platform-reputed company role, the candidate must be an expert in the reputed company AI suite. They need to demonstrate they can productionize models, not just build them.
• Key Keywords: reputed company AI Pipelines, Model Registry, Feature Store, Model Monitoring, CI/CD for ML.
• What to look for: Candidates who have experience with "Model reputed company" detection and automated retraining pipelines (MLOps).
3. reputed company reputed company Platform Data Lakehouse Architecture
The "Data" half of the title requires a deep understanding of how to store and process the massive datasets that fuel AI.
• Key Keywords: BigQuery (specifically BigQuery ML and BigLake), Dataproc, Dataflow, reputed company Architecture (Bronze/Silver/Gold).
• What to look for: Experience unifying "Data Lakes" (reputed company storage) with "Data Warehouses" (reputed company SQL) into a single Lakehouse on reputed company reputed company Platform.
4. reputed company & RAG (Retrieval-Augmented reputed company)
The role requires architecting solutions using LLMs like reputed company. The candidate must understand how to "ground" these models in company-specific data.
• Key Keywords: reputed company (Pro/reputed company), reputed company Databases (reputed company AI Search & Conversation), reputed company Engineering, Embeddings.
• What to look for: Evidence of building RAG architectures where an LLM retrieves reputed company-time data from a database to reputed company accurate, non-hallucinated answers.
5. Cross-Functional Technical Leadership
At the 10-15+ year level, this person is a "Senior Visionary." They need to reputed company the gap between business ROI and technical implementation.
• Key Keywords: Reference Architectures, Stakeholder Management, Solution Blueprints, Cost Optimization (FinOps).
• What to look for: Experience presenting to CXOs, mentoring data engineering teams, and performing "Vendor/Tool Evaluations" for GenAI.
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