Senior AI & GCP Solutions Architect

Centraprise, Corp.; Bogotá ciudad; Sur place; COP 120 000 000 - 240 000 000; Plein temps

Résumé du poste

Centraprise, Corp. is seeking a Senior AI / GCP Technical Consultant to design and implement enterprise-grade AI and cloud solutions on Google Cloud Platform (GCP).

The role focuses on agentic AI, Generative AI, and scalable architectures, requiring hands-on GCP experience and collaboration with enterprise customers. Responsibilities include leading technical discovery, co-development with customer teams, and delivering production-ready AI/ML pipelines.

Qualifications

• Hands-on experience with Google Cloud Platform (GCP).
• Expertise in agentic and Generative AI.
• Experience with LangGraph, CrewAI, or ADK.
• Strong MVP-to-production delivery of AI/cloud solutions.
• 5+ years serving enterprise customers in technical consulting.

Responsabilités

• Work directly with enterprise customers to understand business challenges and transformation objectives.
• Lead technical discovery sessions and translate requirements into scalable solutions.
• Collaborate closely with customer engineering teams through hands-on co-development.
• Establish engineering best practices and reusable reference architectures.
• Provide technical guidance and support critical architecture decisions.
• Drive solutions from MVPs through production-grade implementations.

Connaissances

GCP hands-on

Agentic AI

Generative AI

Cloud architecture

Enterprise consulting

MCP / A2A patterns

AI security / guardrails

Stakeholder communication

SQL / NoSQL databases

Java / Go / C++ (plus)

Outils

LangGraph

CrewAI

ADK

Langfuse

AgentOps

Vertex AI

BigQuery

GKE

Cloud Run

REST APIs / gRPC / SSE

VPC Service Controls

Description du poste

Centraprise, Corp. is seeking a Senior AI / GCP Technical Consultant to design and implement enterprise-grade AI and cloud solutions on Google Cloud Platform (GCP).

The role focuses on agentic AI, Generative AI, and scalable architectures, requiring hands-on GCP experience and collaboration with enterprise customers. Responsibilities include leading technical discovery, co-development with customer teams, and delivering production-ready AI/ML pipelines.