IT Supply Chain Analyst

Job ID

72487

Category

Enterprise Technology

Location

Chennai, India

Work Type

On\-site

You’ll help reduce repetitive operational work by identifying tasks that can be automated, building safe AI\-assisted workflows, and improving how teams detect, diagnose, and prevent incidents. You’ll also help grow the team’s practical AI capabilities.

• **Identify and prioritize repetitive production\-support tasks** that can be simplified or automated, focusing on activities that consume significant team time or create avoidable manual effort.
• **Design, develop, test, and maintain operational automations** for tasks such as health checks, data validation, ticket enrichment, incident summaries, and approved routine remediation.
• **Build AI\-assisted workflows** for incident triage, knowledge retrieval, runbook guidance, alert correlation, and remediation recommendations.
• **Apply agentic AI patterns** to automate multi\-step operational workflows, using clearly defined permissions, boundaries, approval steps, and fallback behavior.
• **Use predictive analytics and anomaly detection** to identify operational patterns, anticipate potential issues, and trigger timely alerts or automated actions.
• **Integrate automation and AI solutions** with approved monitoring, ticketing, knowledge\-management, and Supply Chain systems through APIs and other supported interfaces.
• **Implement safeguards and quality controls** including testing, access management, audit logging, output validation, human review, and safe failure handling.
• **Measure and improve automation outcomes** by tracking time saved, manual effort reduced, accuracy, adoption, failure rates, and operational impact; document solutions and share reusable patterns with the team.

Education: Bachelor’s or master’s degree in computer science, Engineering, Maths or Science

Performed any modern NLP/LLM courses/open competitions is also welcomed.

• *Technical Requirements:**
• **Agentic AI workflows:** **Design multi\-step AI\-agent workflows with tool calling, state management, guardrails, human approvals, and fallback handling.**

• **Python scripting:** **Build and test maintainable Python automations using tools such as pytest and Ruff.**

• **Workflow automation:** **Automate repetitive operations using scripts, REST APIs, webhooks, and workflow orchestration tools.**

• **GenAI and RAG:** **Integrate LLMs with prompts, approved knowledge sources, retrieval\-augmented generation, and output evaluation.**

• **Data and predictive analytics:** **Use SQL, pandas, and scikit\-learn to analyze operational data and develop anomaly\-detection or forecasting solutions.**

• **Observability:** **Use monitoring, logging, and tracing tools to support automation; f**

• **Security and quality:** **Apply least\-privilege access, secure credential handling, audit logging, automated testing, and safe failure controls.**

• **CI/CD and deployments:** **Configure Git\-based pipelines for automated testing, deployment, approvals, and rollback.**

• **Cloud fundamentals: Understand cloud services, identity and access management, networking, storage, compute, and cloud security.**

• **Containers and infrastructure:** **Deploy and troubleshoot containerized workloads using Docker; Kubernetes or Terraform experience is preferred.**