Analog Devices Hiring Cloud AI Engineer in Bengaluru

About the Role

Analog Devices is looking for a motivated Cloud AI Engineer to join its team in Bengaluru. This entry-level role is suited for recent graduates interested in artificial intelligence, cloud technologies, and operational excellence.

The position involves working on Agentic AI initiatives, supporting cloud infrastructure optimization, and contributing to AI-powered solutions.

Key Responsibilities

• Design, build, and deploy Agentic AI systems capable of autonomous task execution and user interaction.
• Develop and optimize cloud infrastructure on AWS, Azure, or GCP for AI and ML workloads.
• Implement and maintain CI/CD pipelines for automated deployment of AI models and cloud services.
• Improve operational efficiency by identifying bottlenecks, optimizing resources, and setting up monitoring and alerting systems.
• Collaborate with cross-functional teams to integrate AI features into existing products and services.
• Create and maintain technical documentation for AI systems, cloud architectures, and operational processes.
• Participate in code reviews, technical discussions, and knowledge-sharing activities.
• Monitor and troubleshoot AI model performance, infrastructure issues, and system reliability concerns.
• Keep up with developments in AI, machine learning, and cloud technologies through continuous learning.
• Support implementation of security and compliance best practices for cloud and AI environments.
• Work on proof-of-concept initiatives to evaluate new AI frameworks, tools, and cloud services.
• Assist in scaling AI solutions from development environments to production systems.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Projects or coursework related to Agentic AI, autonomous systems, LLM-based agents, or AI orchestration frameworks.
• Hands-on exposure to at least one cloud platform such as AWS, Azure, or GCP.
• Coursework in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing.
• Strong Python programming skills and familiarity with AI/ML libraries including TensorFlow, PyTorch, scikit-learn, or LangChain.
• Ability to produce clear technical documentation and collaborate effectively in team environments.

Preferred Qualifications

• Experience with Docker and Kubernetes.
• Knowledge of Infrastructure as Code tools such as Terraform or CloudFormation.
• Understanding of DevOps tools and CI/CD workflows including Git, Jenkins, GitLab CI/CD, or GitHub Actions.
• Familiarity with Large Language Models, prompt engineering, and MLOps practices.
• Experience with vector databases and retrieval-augmented generation systems.
• Cloud certifications or contributions to open-source AI/ML projects are an advantage.

What We Offer

• Exposure to advanced AI and cloud technologies within a global semiconductor company.
• Mentorship from experienced engineers and AI specialists.
• A collaborative and innovation-driven work environment.
• Continuous learning and professional development opportunities.