Cloud Architect
Posted 1 week ago by Creo Invent on Linkedin
Job Description: HCL is looking for an experienced Cloud Architect with extensive knowledge in the telecom sector and expertise in vector search technologies and intelligent agent systems. The role focuses on designing and implementing large-scale, cloud-native solutions on Google Cloud Platform (GCP) for telecommunications clients. The ideal candidate will lead architecture efforts, engage with clients, and collaborate with various teams to ensure effective deployment and integration of AI-driven solutions. A strong background in AI/ML and cloud architecture is essential for success in this position.
Key Responsibilities:
- Lead the architecture and design of scalable cloud-native platforms for telecom operators using GCP services.
- Design and implement solutions using vector search (e.g., ScaNN, FAISS) to support intelligent retrieval and personalization.
- Architect AI/ML-powered agent systems for customer support, network monitoring, and predictive maintenance.
- Engage directly with telecom clients to assess business and technical requirements and translate them into robust cloud solutions.
- Collaborate with data scientists, ML engineers, and DevOps teams to ensure reliable deployment pipelines and AI integration.
- Lead workshops, architecture reviews, and governance assessments with stakeholders at all levels.
- Ensure security, compliance, and high availability for mission-critical telecom applications.
Skills Required:
- 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.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Description: About the Role HCL is seeking a seasoned 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).
Key Responsibilities
- Lead the architecture and design of scalable cloud-native platforms for telecom operators using GCP services.
- Design and implement solutions using vector search (e.g., ScaNN, FAISS) to support intelligent retrieval and personalization.
- Architect AI/ML-powered agent systems for customer support, network monitoring, and predictive maintenance.
- Engage directly with telecom clients to assess business and technical requirements and translate them into robust cloud solutions.
- Collaborate with data scientists, ML engineers, and DevOps teams to ensure reliable deployment pipelines and AI integration.
- Lead workshops, architecture reviews, and governance assessments with stakeholders at all levels.
- Ensure security, compliance, and high availability for mission-critical telecom applications.
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
United Kingdom
Undetermined
Undetermined
IT
Not Specified
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Job Description: HCL is looking for an experienced Cloud Architect with extensive knowledge in the telecom sector and expertise in vector search technologies and intelligent agent systems. The role focuses on designing and implementing large-scale, cloud-native solutions on Google Cloud Platform (GCP) for telecommunications clients. The ideal candidate will lead architecture efforts, engage with clients, and collaborate with various teams to ensure effective deployment and integration of AI-driven solutions. A strong background in AI/ML and cloud architecture is essential for success in this position.
Key Responsibilities:
- Lead the architecture and design of scalable cloud-native platforms for telecom operators using GCP services.
- Design and implement solutions using vector search (e.g., ScaNN, FAISS) to support intelligent retrieval and personalization.
- Architect AI/ML-powered agent systems for customer support, network monitoring, and predictive maintenance.
- Engage directly with telecom clients to assess business and technical requirements and translate them into robust cloud solutions.
- Collaborate with data scientists, ML engineers, and DevOps teams to ensure reliable deployment pipelines and AI integration.
- Lead workshops, architecture reviews, and governance assessments with stakeholders at all levels.
- Ensure security, compliance, and high availability for mission-critical telecom applications.
Skills Required:
- 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.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Description: About the Role HCL is seeking a seasoned 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).
Key Responsibilities
- Lead the architecture and design of scalable cloud-native platforms for telecom operators using GCP services.
- Design and implement solutions using vector search (e.g., ScaNN, FAISS) to support intelligent retrieval and personalization.
- Architect AI/ML-powered agent systems for customer support, network monitoring, and predictive maintenance.
- Engage directly with telecom clients to assess business and technical requirements and translate them into robust cloud solutions.
- Collaborate with data scientists, ML engineers, and DevOps teams to ensure reliable deployment pipelines and AI integration.
- Lead workshops, architecture reviews, and governance assessments with stakeholders at all levels.
- Ensure security, compliance, and high availability for mission-critical telecom applications.
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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