Chief AI System Architect

7 days ago

vadodara, India beBeeAgentic Full time

Agentic AI Systems EngineerRole Overview:As a proactive Agentic AI Systems Engineer, you will ensure the reliability, scalability, and efficiency of AI and agentic AI systems in production. You will manage deployments, monitor performance, troubleshoot issues, and implement best practices for Tech Ops/MLOps/LLMOps.Deployment & Infrastructure:Deploy and manage AI models, agentic systems, and infrastructure across cloud platforms.Implement Continuous Integration/Continuous Deployment (CI/CD) pipelines for AI/ML and agentic applications.Optimize cloud resources for cost and scalability.Monitoring & Incident Management:Build monitoring, logging, and alerting solutions for AI systems.Handle incident response, root cause analysis, and maintain runbooks.Automation & Operational Excellence:Automate deployments and maintenance using Python/Bash and Infrastructure as Code (IaC) tools.Enforce security, compliance, and operational best practices.Collaboration & Documentation:Work with AI developers, data scientists, and architects for smooth production transitions.Maintain clear documentation and provide feedback on system performance.Required Skills and Qualifications:Bachelor's in Computer Science, Information Technology, Engineering, or related field.2–4+ years in Tech Ops, DevOps, Site Reliability Engineering (SRE), or MLOps roles.Hands-on experience with cloud platforms (Google Cloud Platform—Vertex AI, Amazon Web Services, Microsoft Azure).Proficient in Python/Bash scripting, CI/CD tools (Jenkins, GitLab CI, GitHub Actions).Experience with Docker, Kubernetes, monitoring tools (Prometheus, Grafana, ELK, Datadog).Knowledge of networking, security, and IaC principles.Strong troubleshooting and communication skills.Preferred Qualifications:Master's degree and cloud certifications.Experience in MLOps/LLMOps and AI/ML frameworks (TensorFlow, PyTorch).Familiarity with agentic AI concepts, vector databases, and data pipeline tools (Airflow, Kubeflow).Agile environment experience.

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