Analog Devices Off Campus Drive 2026: Cloud AI Engineer

Analog Devices Off Campus Drive 2026:

Detailed Eligibility:

Cloud AI Engineer:

Required Qualifications:

• **Education:**Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field (2024-2026 graduates preferred)
• **Agentic AI Experience:**Demonstrated projects or coursework in Agentic AI, autonomous systems, LLM-based agents, or AI orchestration frameworks
• **Cloud Platform Knowledge:**Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) through projects, internships, or certifications
• **AI/ML Coursework:**Completed courses in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing
• **Programming Skills:**Proficiency in Python and familiarity with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, LangChain, etc.)
• **Communication Skills:**Strong written and verbal communication skills with the ability to explain complex technical concepts clearly
• **Documentation:**Demonstrated ability to create clear, comprehensive technical documentation
• **Team Collaboration:**Proven ability to work effectively in team environments, collaborate across functions, and contribute to shared goals

Preferred Qualifications:

• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with Infrastructure as Code (Terraform, CloudFormation, ARM templates)
• Knowledge of DevOps practices and tools (Git, Jenkins, GitLab CI/CD, GitHub Actions)
• Experience with Large Language Models (LLMs) and prompt engineering
• Understanding of MLOps practices and model deployment strategies
• Cloud certifications (AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Associate, etc.)
• Contributions to open-source projects or published research in AI/ML
• Experience with vector databases and retrieval-augmented generation (RAG) systems

Key Responsibilities:

• Design, develop, and deploy Agentic AI systems that can autonomously perform tasks, make decisions, and interact with users and other systems
• Build and optimize cloud-based infrastructure on AWS, Azure, or GCP to support AI/ML workloads and applications
• Implement and maintain CI/CD pipelines for automated deployment of AI models and cloud services
• Contribute to operational improvements by identifying bottlenecks, optimizing resource utilization, and implementing monitoring and alerting systems
• Collaborate with cross-functional teams to integrate AI capabilities into existing products and services
• Develop and maintain technical documentation for AI systems, cloud architectures, and operational procedures
• Participate in code reviews, design discussions, and knowledge-sharing sessions with team members
• Monitor and troubleshoot AI model performance, cloud infrastructure issues, and system reliability
• Stay current with emerging trends in AI, machine learning, and cloud technologies through continuous learning
• Assist in implementing security best practices and compliance requirements for cloud and AI systems
• Work on proof-of-concept projects to evaluate new AI frameworks, tools, and cloud services
• Support the team in scaling AI solutions from development to production environments

What We Offer:

• Opportunity to work on cutting-edge AI and cloud technologies at a global leader in semiconductors and signal processing
• Mentorship from experienced engineers and AI specialists
• Collaborative and innovative work environment
• Professional development and continuous learning opportunities

About the Role:

• We are seeking a talented and motivated Cloud/AI Engineer to join our dynamic team at Analog Devices. This entry-level position is ideal for recent graduates with a passion for artificial intelligence, cloud technologies, and operational excellence. You will work on cutting-edge Agentic AI projects, contribute to cloud infrastructure optimization, and help drive innovation in AI-powered solutions.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field (2024-2026 graduates preferred)
• Demonstrated projects or coursework in Agentic AI, autonomous systems, LLM-based agents, or AI orchestration frameworks
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) through projects, internships, or certifications
• Completed courses in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing
• Proficiency in Python and familiarity with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, LangChain, etc.)
• Strong written and verbal communication skills with the ability to explain complex technical concepts clearly
• Demonstrated ability to create clear, comprehensive technical documentation
• Proven ability to work effectively in team environments, collaborate across functions, and contribute to shared goals