Cloud AI Engineer

Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.

ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future. 

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

Location: RMZ Infinity Campus, Bengaluru, India

Position Type: Full-Time

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.

• 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

• 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

• 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

• 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

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.