Cloud AI Architect Leader

11 hours ago

Ajmer, Rajasthan, India beBeeCloudAI Full time ₹ 30,00,000 - ₹ 40,00,000

Job Summary:

We are seeking a Cloud AI Architect to design and implement cutting-edge AI-powered cloud infrastructures.

About the Role:

  • Designing AI-powered cloud architectures, selecting appropriate cloud services, designing scalability and performance.
  • Integrating AI models into existing cloud infrastructure and applications seamlessly.
  • Collaborating with stakeholders to understand business requirements and translate them into technical solutions.
  • Overseeing deployment process, monitoring performance, and ensuring long-term health of AI solutions.
  • Anticipating future business requirements and planning for evolution of AI systems.
  • Collaborating with data scientists, data engineers, and developers to implement AI solutions.
  • Designing and implementing responsible AI frameworks ensuring bias mitigation and fairness.
  • Integrating AI solutions with cloud-native MLOps pipelines for continuous training, deployment, and monitoring.
  • Leveraging serverless AI services and edge AI for real-time, scalable applications.
  • Collaborating on AI governance and compliance with evolving data privacy laws.
  • Utilizing multi-cloud strategies and hybrid-cloud integration for flexibility and disaster recovery.
  • Driving cost optimization of AI workloads via cloud resource tuning and autoscaling.

Key Responsibilities:

  1. Designing and developing innovative AI-powered cloud solutions.
  2. Collaborating with cross-functional teams to integrate AI models and applications.
  3. Ensuring seamless integration of AI solutions with existing cloud infrastructure.
  4. Developing and maintaining responsible AI frameworks to mitigate bias and ensure fairness.
  5. Designing and implementing AI solutions that meet business requirements and drive growth.
  6. Collaborating with data scientists and engineers to develop and deploy AI solutions.
  7. Monitoring and improving the performance of AI solutions in production environments.
  8. Staying up-to-date with emerging trends and technologies in AI and cloud computing.

Requirements:

Qualifications:

  • Expertise in designing and implementing AI-powered cloud architectures.
  • Strong understanding of AI models, machine learning algorithms, and deep learning techniques.
  • Experience integrating AI models into existing cloud infrastructure and applications.
  • Excellent communication and collaboration skills.
  • Ability to work effectively in a fast-paced environment.
  • Strong problem-solving and analytical skills.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.

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