Gen AI Architect-SM-Generative AI or Agentic AI, GCP

Role & responsibilities

Requirements:

• Experience Profile:
• 9+ years of progressive experience in software development, data, or machine learning engineering.
• 5+ years hands-on experience with Google Cloud Platform (GCP).
• 4+ years experience in Data Engineering, Data Architecture, or Data Science.
• 2+ years leading Generative AI or Agentic AI development projects from conception to production.
• Technical Expertise:
• Expert Python proficiency (6+ years preferred), architecting and deploying scalable, production-grade applications.
• Deep expertise in FastAPI, Flask, and using Google Cloud APIs via Python SDK.
• Familiarity with React.js for front-end integration.
• Expert proficiency in SQL for advanced database design and optimization.
• Comprehensive understanding of data warehousing, data lakes, and data mesh concepts.
• Generative AI & Agentic Proficiency:
• Deep architectural understanding and practical experience with Agentic Development Architectures (e.g., Agent Development Kit, Gemini Enterprise / Agentspace, LangGraph, Langchain).
• Proven experience designing and implementing Retrieval Augmented Generation (RAG) systems.
• Expertise in Prompt Engineering, Prompt Chaining, and Text-to-SQL.
• Experience with Agent-to-Agent (A2A) communication patterns and leading LLM frameworks.
• Direct experience designing and implementing LLM guardrails (e.g., content moderation, safety filters, hallucination mitigation) and ensuring AI system adherence to governance policies.
• GCP Architectural Skills:
• Advanced architectural understanding and hands-on experience with Vertex AI, Vector Search, Gemini Models, Document AI, Contact Center AI (CCAI).
• Expertise in GCP containerization (GKE, Cloud Run), serverless (Cloud Functions), and data services (BigQuery, Cloud Storage, Composer).
• Proven track record in driving MLOps implementations within GCP.
• Leadership & Communication: Exceptional verbal and written communication skills to articulate complex technical concepts, influence stakeholders, and foster strong relationships across teams.

Preferred Skills:

• GCP Professional Certifications (Machine Learning Engineer, Cloud Architect, Cloud Developer).
• Experience in client-facing consulting.
• Demonstrated ability to evaluate new technologies and integrate them into enterprise architectures.
• Knowledge of regulatory frameworks and compliance requirements related to AI (e.g., GDPR, ethical AI guidelines).