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Tata Consultancy Services Linkedin · Posted 21d ago

AI Ops Leader

Chicago, Illinois, United States

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Job Description

Must Have Technical/Functional Skills

  • Strong expertise in AI Ops / MLOps / LLM Ops practices
  • End-to-end model lifecycle management
  • Advanced model monitoring, observability, and alerting frameworks
  • Drift detection, performance tracking, and automated retraining
  • CI/CD and DevSecOps for AI/ML systems
  • Scalable deployment architectures for AI/ML and LLM
  • AI governance, risk, security, and compliance frameworks [
  • AI platform engineering and operational tooling experience
  • Performance optimization (latency, cost, scalability) for AI workloads
  • Strong experience in automation of AI operations workflows
  • Data pipeline integration and ML infrastructure management
  • Cross-functional collaboration with engineering, data, and platform teams ________________________________________

Roles & Responsibilities

  • Define and implement AI Ops / MLOps / LLM Ops strategy for enterprise AI platforms
  • Manage end-to-end AI operations lifecycle (deployment, monitoring, scaling, optimization)
  • Establish model monitoring, observability, and alerting frameworks for production AI systems
  • Implement model lifecycle management (versioning, deployment, retraining, rollback, drift detection)
  • Define and track AI Ops KPIs (performance, reliability, incident reduction, automation efficiency)
  • Ensure high availability, scalability, and performance of AI systems in production
  • Drive adoption of CI/CD and DevSecOps practices for AI/ML systems
  • Implement governance, risk, security, and compliance controls for AI systems
  • Collaborate with AI engineering, data, and platform teams for seamless operation
  • Manage incident response, root-cause analysis, and continuous improvement for AI system
  • Optimize cost, latency, and resource utilization of AI workloads
  • Drive automation of AI operations processes and workflows

Salary Range: $130,000-$150,000 a Year

TCS Employee Benefits Summary

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbur sement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications: BACHELOR OF COMPUTER SCIENCE

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