Senior AI / GCP Technical Consultant – Agentic AI

About the role

Centraprise is seeking a Senior AI / GCP Technical Consultant with hands-on experience designing and implementing enterprise-grade AI and cloud solutions on Google Cloud Platform (GCP). The role focuses on Agentic AI, Generative AI, machine learning, cloud architecture, RAG, LLMOps, and enterprise consulting.

Responsibilities

• Work with enterprise customers to understand business challenges, technical requirements, and transformation objectives.
• Lead technical discovery and translate business requirements into scalable technical solutions.
• Collaborate with customer engineering teams through hands-on co-development.
• Establish engineering best practices, develop reference implementations, and define reusable reference architectures.
• Provide technical guidance on architecture and technology decisions, and drive solutions from concepts and MVPs through production-grade implementations.
• Identify technical risks, dependencies, and constraints; communicate technical concepts and facilitate discussions about trade-offs.
• Design and implement enterprise-grade agentic AI architectures and workflows using frameworks such as LangGraph, CrewAI, and Agent Development Kit (ADK).
• Implement agent architectures using Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
• Develop tool and function calling, dynamic routing, reasoning, self-reflection, and hierarchical delegation.

Requirements

• Previous hands-on experience working with GCP is mandatory.
• Strong hands-on experience designing and implementing enterprise-grade AI and cloud solutions on GCP.
• Background in Agentic AI, Generative AI, machine learning, cloud architecture, RAG, LLMOps, and enterprise consulting.
• Ability to work directly with engineering and business stakeholders to develop scalable, secure, and production-ready solutions.

Datos clave

• Previous hands-on experience working with GCP is mandatory.
• The role involves Agentic AI, Generative AI, machine learning, cloud architecture, RAG, and LLMOps.
• The role includes hands-on co-development with customer engineering teams.