Cloud AI Solutions Architect

1 day ago

Lahore, Punjab, Pakistan beBee Careers Full time

Job Title: Cloud AI Solutions Architect

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We are seeking a highly skilled Senior AI Platform Engineer to join our growing team and contribute to building cutting-edge AI solutions. This role focuses on backend development for cloud-based applications and the integration of AI technologies such as Cloud Native Cognitive Services, Agentic AI, LLMs, and more.

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Key Responsibilities:
  1. Design, develop, and maintain the core backend infrastructure for cutting-edge AI Solutions.
  2. Build and optimize APIs, microservices, and scalable cloud-based architectures.
  3. Integrate AI technologies such as LLMs, RAG (Retrieval-Augmented Generation), and fine-tuned models into cloud-native applications.
  4. Develop robust data pipelines to support AI model inference, data storage, and real-time processing.
  5. Collaborate with data scientists, product managers, and UX designers to translate business requirements into technical solutions.
  6. Ensure system performance, scalability, and security by implementing best practices.
  7. Automate infrastructure management using tools like Terraform, Bicep, or other Infrastructure-as-Code (IaC) frameworks.
  8. Drive technical innovation and best practices within the engineering team.
  9. Conduct code reviews, mentor junior engineers, and ensure high code quality standards.
  10. Monitor and troubleshoot platform performance issues, ensuring minimal downtime and optimal performance.
Requirements:
  1. 5+ years of experience in backend development for cloud applications.
  2. Strong proficiency in Python, C#, FastAPI or Node.js with experience building scalable APIs and microservices.
  3. Expertise in cloud platforms like Microsoft Azure, AWS, or Google Cloud with a focus on AI services.
  4. Experience with Microsoft Cognitive Services, Azure OpenAI, or similar AI frameworks.
  5. Deep understanding of AI concepts such as RAG, fine-tuning, and prompt engineering.
  6. Hands-on experience with containerization technologies like Docker and Kubernetes.
  7. Experience with database systems (SQL and NoSQL) and vector databases for AI solutions.
  8. Proven expertise in CI/CD pipelines, automated testing, and deployment strategies.
  9. Strong problem-solving skills with a proactive and solution-oriented mindset.
  10. Experience integrating Speech-to-Text, Text-to-Speech, and conversational AI frameworks.
  11. Background in designing real-time data processing systems.
  12. Familiarity with performance monitoring tools and logging frameworks.
Benefits:
  • Medical Insurance
  • Permanent Employment Status
  • Provident Fund
  • Internal Job Opportunities
  • Annual Leaves
  • Leaves Encashment
  • Referral Bonus
  • Company Pick & Drop
Seniority Level:
  • Mid-Senior level
Employment Type:
  • Full-time
Job Function:
  • Engineering and Information Technology
Industries:
  • Telecommunications

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