Cloud Architect

3 days ago

Karachi, Sindh, Pakistan beBee Careers Full time
Solution Architect & Tech Leader

We are looking for a highly experienced solution architect and tech leader to guide our team in designing and implementing cutting-edge AI solutions. As a key technical leader, you will lead the development of scalable, secure, and reliable AI systems, and oversee the deployment of cloud-native AI infrastructure on AWS.

Main Responsibilities:
  • Lead AI-driven Architectural Design & Strategy

Drive technical decision-making for AI-powered software solutions, ensuring scalability, security, and efficiency.

Establish best practices for AI and tech development, providing mentorship on system architecture, microservices, and AI deployment strategies.

  • Develop & Maintain AI-Ready Backend Services

Build robust backend services using Python (Django, FastAPI) with a focus on AI-driven applications.

Design and implement data pipelines, model inference APIs, and real-time processing frameworks for AI applications.

  • AI-Powered Frontend Development

Integrate AI models into web-based platforms, enabling real-time AI interactions and dynamic content generation.

Architect and implement AI-focused microservices, RESTful APIs, and Service-Oriented Architectures (SOA) for startups.

Ensure seamless integration of machine learning models and AI services within distributed systems.

Lead AI model deployment and cloud infrastructure setup on AWS (IAM, EC2, S3, Lambda, CloudFormation, VPC, SageMaker, Bedrock, etc.).

Oversee cloud-native AI development, serverless computing, and cost-efficient AI training workflows.

  • Containerization & Scalable AI Workflows

Deploy and manage AI applications using Docker and Kubernetes, ensuring scalability and efficient resource utilization.

Automate AI model training, inference, and A/B testing environments for incubated startups.

  • Performance Optimization & Real-time AI Solutions

Enhance AI model serving performance, caching mechanisms, and WebSocket-based real-time AI interactions.

Optimize vector databases, embedding-based search, and AI-driven recommendation engines.

  • Implement and refine CI/CD pipelines tailored for AI model versioning, monitoring, and iterative improvements.
  • Facilitate MLOps best practices to streamline AI lifecycle management.

Security, Scalability, & Compliance

Design AI solutions with a focus on data security, model robustness, and regulatory compliance (GDPR, AI ethics, etc.).

Ensure high availability and fault-tolerant AI architectures.

  • Innovate with Very Large Language Models (VLLMs) & AI Research

Guide startups on leveraging VLLMs (Very Large Language Models), fine-tuning LLMs, and integrating generative AI capabilities.

Experiment with edge AI, federated learning, and multimodal AI applications.

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