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- Tasks: Design and implement cloud-native solutions for telecom clients using cutting-edge AI technologies.
- Company: Join HCL, a leader in tech innovation, transforming the telecom sector with advanced cloud solutions.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI and cloud technology, making a real impact in telecommunications.
- Qualifications: 10+ years in cloud architecture, with expertise in AI/ML and telecom systems required.
- Other info: Work collaboratively with top-tier professionals and engage directly with clients to shape innovative solutions.
The predicted salary is between 72000 - 108000 £ per year.
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.
Cloud Architect employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Architect
✨Tip Number 1
Make sure to showcase your hands-on experience with Google Cloud Platform (GCP) and AI/ML services. Highlight specific projects where you've implemented solutions using Vertex AI or built data pipelines on GCP, as this will resonate well with the hiring team.
✨Tip Number 2
Demonstrate your expertise in vector search technologies like ScaNN or FAISS. Prepare to discuss how you've used these tools in previous roles to enhance intelligent retrieval systems, as this is a key requirement for the position.
✨Tip Number 3
Engage with the telecom community by attending relevant webinars or conferences. Networking with industry professionals can provide insights into current trends and challenges, which you can reference during interviews to show your commitment and knowledge of the sector.
✨Tip Number 4
Prepare to discuss your experience in leading workshops and architecture reviews. Being able to articulate your approach to stakeholder engagement and governance assessments will demonstrate your leadership capabilities and fit for the role.
We think you need these skills to ace Cloud Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud architecture, particularly within the telecommunications sector. Emphasise your hands-on expertise with GCP and vector search technologies, as well as any relevant AI/ML projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role of Cloud Architect at HCL. Discuss your experience with intelligent agent systems and how you can contribute to their telecom clients. Be specific about your achievements and how they relate to the job description.
Showcase Relevant Projects: If you have worked on projects involving AI/ML frameworks or cloud-native solutions, include these in your application. Describe your role, the technologies used, and the impact of the project. This will demonstrate your practical experience and problem-solving skills.
Highlight Certifications: Mention any relevant certifications, such as Google Professional Cloud Architect or Machine Learning Engineer. These credentials can set you apart from other candidates and show your commitment to professional development in the field.
How to prepare for a job interview at LinkedIn
✨Showcase Your Telecom Expertise
Make sure to highlight your experience in the telecommunications sector during the interview. Discuss specific projects where you designed cloud-native solutions and how they benefited the clients. This will demonstrate your understanding of the industry's unique challenges and requirements.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with Google Cloud Platform and vector search technologies like ScaNN or FAISS. You might be asked to solve a technical problem on the spot, so brush up on your skills and be ready to explain your thought process clearly.
✨Engage with Real-World Scenarios
Expect to engage in discussions about real-world scenarios involving AI/ML-powered agent systems. Prepare examples of how you've implemented these technologies in past roles, focusing on the impact they had on customer support or network monitoring.
✨Prepare for Stakeholder Interaction
Since the role involves direct engagement with telecom clients, practice articulating complex technical concepts in a way that non-technical stakeholders can understand. This will showcase your communication skills and ability to bridge the gap between technical and business needs.
