Cloud Architect
Posted 1 week ago by iXceed Solutions on Linkedin
Job Description: The Cloud Architect role requires a seasoned professional with extensive experience in cloud architecture and AI/ML engineering, particularly within the telecommunications sector. The position demands hands-on expertise in designing intelligent agent frameworks and robust data pipelines, alongside a solid understanding of telecom systems and 5G architecture. The ideal candidate will possess strong problem-solving skills and a passion for innovative AI solutions, with proficiency in Google Cloud Platform services.
Key Responsibilities:
- Design and implement cloud architecture solutions, focusing on telecommunications and AI/ML engineering.
- Develop intelligent agent frameworks using tools like Dialogflow and LangChain.
- Build and maintain data pipelines for AI/ML workloads on Google Cloud Platform.
- Utilize vector similarity search systems and AI/ML frameworks effectively.
- Ensure compliance with telecom OSS/BSS systems and 5G architecture.
- Deploy and manage ML models in production using MLOps principles.
- Engage with stakeholders and present solutions effectively.
Skills Required:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 10+ years of experience in cloud architecture and solution engineering.
- 5+ years of experience in AI/ML engineering, with a focus on Generative AI.
- Hands-on expertise in vector similarity search systems (e.g., ScaNN, FAISS).
- Strong experience with Google Cloud Platform AI/ML services, especially Vertex AI.
- Proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of telecom OSS/BSS systems and 5G architecture.
- Familiarity with MLOps principles and infrastructure-as-code tools.
- Excellent problem-solving and communication skills.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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. Preferred Qualifications Google Professional Machine Learning Engineer or equivalent certification. Experience with cloud migration and modernization projects in the telecom industry. Knowledge of telco-grade security and regulatory requirements in the UK and EMEA. Familiarity with microservices architecture, service meshes, and API gateways. Excellent communication, stakeholder engagement, and client-facing presentation skills.
Negotiable
London Area, United Kingdom
Undetermined
Undetermined
IT
Not Specified
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Job Description: The Cloud Architect role requires a seasoned professional with extensive experience in cloud architecture and AI/ML engineering, particularly within the telecommunications sector. The position demands hands-on expertise in designing intelligent agent frameworks and robust data pipelines, alongside a solid understanding of telecom systems and 5G architecture. The ideal candidate will possess strong problem-solving skills and a passion for innovative AI solutions, with proficiency in Google Cloud Platform services.
Key Responsibilities:
- Design and implement cloud architecture solutions, focusing on telecommunications and AI/ML engineering.
- Develop intelligent agent frameworks using tools like Dialogflow and LangChain.
- Build and maintain data pipelines for AI/ML workloads on Google Cloud Platform.
- Utilize vector similarity search systems and AI/ML frameworks effectively.
- Ensure compliance with telecom OSS/BSS systems and 5G architecture.
- Deploy and manage ML models in production using MLOps principles.
- Engage with stakeholders and present solutions effectively.
Skills Required:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 10+ years of experience in cloud architecture and solution engineering.
- 5+ years of experience in AI/ML engineering, with a focus on Generative AI.
- Hands-on expertise in vector similarity search systems (e.g., ScaNN, FAISS).
- Strong experience with Google Cloud Platform AI/ML services, especially Vertex AI.
- Proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of telecom OSS/BSS systems and 5G architecture.
- Familiarity with MLOps principles and infrastructure-as-code tools.
- Excellent problem-solving and communication skills.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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. Preferred Qualifications Google Professional Machine Learning Engineer or equivalent certification. Experience with cloud migration and modernization projects in the telecom industry. Knowledge of telco-grade security and regulatory requirements in the UK and EMEA. Familiarity with microservices architecture, service meshes, and API gateways. Excellent communication, stakeholder engagement, and client-facing presentation skills.
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