Job Description
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.
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
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
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
