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IT Supply Chain Analyst

Chennai

Posted:23 hours ago

Job Description

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.

Skills Required

Supply Chain Production Support Data Validation Predictive Analytics Automation AI Solutions Knowledge Management Access Management Computer Science Python Scripting Python Rest Apis

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