Cloud AI Solutions Architect

7 days ago

Lahore, Punjab, Pakistan beBee Careers Full time

Develop scalable, secure, and high-performance cloud-native solutions integrated with advanced AI capabilities.

Job Overview

We are seeking a skilled and experienced Senior Cloud & AI Engineer to design and develop cutting-edge internal and customer-facing AI solutions using multi-AI agent frameworks, cloud technologies, and services like Cloud Native Cognitive Services, Agentic AI, LLMs, and more. The successful candidate will play a pivotal role in designing and developing cloud-native solutions that deliver powerful AI-driven functionality.

Key Responsibilities
  1. Design, develop, and maintain scalable backend services and cloud infrastructure for our AI applications.
  2. Implement and integrate AI technologies such as LLMs, RAG, and fine-tuning using Microsoft Cognitive Services and other cloud-based AI solutions.
  3. Develop APIs and microservices that deliver AI-driven functionality for our platform.
  4. Collaborate with data scientists and AI engineers to integrate advanced AI models into cloud-based applications.
  5. Ensure system performance, scalability, and reliability by designing robust architecture patterns.
  6. Build data pipelines and manage vector databases (e.g., Pinecone, Weaviate) to support AI model deployment.
  7. Drive cloud infrastructure automation using tools like Terraform, Bicep, or ARM templates.
  8. Establish CI/CD pipelines, monitoring systems, and automated testing frameworks to support engineering best practices.
  9. Collaborate with product managers, UX designers, and other engineers to deliver impactful solutions that meet customer needs.
Requirements
  1. 5+ years of experience in backend engineering for cloud platforms.
  2. Proven experience in cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
  3. Strong programming skills in Python, C#, FastAPI, or Node.js.
  4. Experience in integrating cloud-native AI services such as Azure Cognitive Services, OpenAI, or equivalent platforms.
  5. Deep understanding of RESTful APIs, microservices architecture, and serverless design patterns.
  6. Strong knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  7. Familiarity with data pipelines, data lakes, and AI-driven data flow architectures.
  8. Experience with cloud security best practices and designing secure APIs and services.
  9. Experience in developing conversational AI systems, intelligent automation tools, or agent-based frameworks.
  10. Strong understanding of RAG, fine-tuning, and other AI-specific techniques.
  11. Familiarity with vector databases like Pinecone, Weaviate, or similar technologies.
  12. Background in agile development practices and working in cross-functional teams.
Perks and Benefits
  • Medical Insurance
  • Permanent Employment Status
  • Provident Fund
  • Internal Job Opportunities
  • Annual Leaves
  • Leaves Encashment
  • Referral Bonus
  • Company Pick and Drop
Seniority Level
  • Mid-Senior level
Employment Type
  • Full-time
Job Function
  • Engineering and Information Technology
Industries
  • Telecommunications

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