Google Cloud Architect (AI focus)

Google Cloud Architect (AI focus)

Posted 1 week ago by ST Global Tech LLC

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Negotiable
Undetermined
Remote
United Kingdom
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5G Technology Algorithms Artificial Intelligence BigQuery Cloud Computing Cloud Technology Computer Science Data Engineering Dataflow Data Processing Deep Learning Dialogflow (Google Service) Google Cloud Google Cloud Platform (GCP) Google Kubernetes Engine (GKE) Intelligent Agent Machine Learning Machine Learning Algorithms Natural Language Processing Python (Programming Language) PyTorch (Machine Learning Library) Search Technologies TensorFlow Terraform Workflows

Summary: The role of Cloud Architect (AI focus) involves designing large-scale, cloud-native solutions specifically for telecommunications clients, leveraging advanced search technologies and AI-driven workflows on Google Cloud Platform (GCP). The position requires extensive experience in cloud architecture, AI/ML engineering, and a deep understanding of telecom systems. The ideal candidate will possess hands-on expertise in vector search technologies and intelligent agent frameworks. A strong background in Python and GCP AI/ML services is essential for success in this role.

Key Responsibilities:

  • Architect large-scale, cloud-native solutions for telecommunications clients.
  • Integrate advanced search systems and AI-driven agent workflows on Google Cloud Platform (GCP).
  • Design intelligent agent frameworks using tools like Dialogflow and LangChain.
  • Build robust data pipelines for AI/ML workloads on GCP.
  • Utilize vector similarity search systems such as ScaNN, FAISS, Pinecone, or Vespa.
  • Implement MLOps principles for deploying and managing ML models in production.
  • Collaborate with teams to ensure effective integration of AI solutions.
  • Maintain a solid understanding of telecom OSS/BSS systems and 5G architecture.

Key Skills:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
  • 10+ years of experience in cloud architecture/solution engineering.
  • 3+ years of experience in the telecommunications domain.
  • 5+ years of experience in AI/ML engineering, with a focus on Generative AI.
  • Hands-on expertise in vector similarity search systems.
  • Strong experience with Google Cloud Platform (GCP) AI/ML services.
  • Proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Familiarity with infrastructure-as-code tools like Terraform.
  • Google Professional Cloud Architect certification.

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Cloud Architect (AI focus)

Location: United Kingdom - Remote

Contract Cloud Architect with deep expertise in the telecom sector, vector search technologies, and intelligent agent systems. This role involves architecting large-scale, cloud-native solutions for telecommunications clients, integrating cutting-edge search systems and AI-driven agent workflows on Google Cloud Platform (GCP).

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
  • 10+ years of experience in cloud architecture / solution engineering, with at least 3 years in the telecommunications domain.
  • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.).
  • Hands-on expertise in vector similarity search systems such as ScaNN, FAISS, Pinecone, or Vespa.
  • Experience designing intelligent agent frameworks using tools like Dialogflow, LangChain, or custom orchestration pipelines.
  • Solid understanding of telecom OSS/BSS systems, 5G architecture, and network data processing.
  • Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store).
  • Proficiency in Python and strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face Transformers).
  • Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow).
  • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms.
  • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production.
  • Strong experience designing and deploying GCP-based solutions, including use of Vertex AI, BigQuery, Dataflow, and GKE.
  • Fluency in infrastructure-as-code tools like Terraform, Deployment Manager, or equivalent.
  • Excellent problem-solving skills, with a passion for building innovative and impactful AI solutions.
  • Google Professional Cloud Architect.
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