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Cyber Detection and Response AI Operations & Optimization Specialist

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Onsite

Cyber Detection and Response AI Operations & Optimization Specialist

Tata Consultancy Services

Cyber Detection and Response AI Operations & Optimization Specialist

Skills

AINo-code Automations

3 months ago

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Important information


Contract type:

Permanent

Location:

Phoenix, AZ, USA

Work mode:

Onsite

Published on:

15 August 2026

What they need


Cyber Detection and Response AI Operations & Optimization Specialist

Skills & Qualifications

  • 3+ years of experience in security engineering, automation engineering, SOC operations, or detection engineering.
  • Experience with AI assistants, LLMs, workflow automation, or orchestration platforms.
  • Strong understanding of SOC workflows, detection operations, and analyst processes.
  • Experience developing operational metrics, dashboards, or performance reporting.
  • Familiarity with process controls, workflow governance, and operational monitoring concepts.
  • Experience with APIs, scripting, and system integrations.
  • Strong analytical, troubleshooting, and problem-solving skills.

Role Summary

Support the optimization, adoption, and operational maturity of AI-enabled SOC workflows through prompt tuning, workflow enhancements, automation improvements, operational controls, and performance measurement. Focus on improving the effectiveness, efficiency, and reliability of AI-assisted detection, investigation, and response capabilities.

Responsibilities

  • Optimize AI-assisted investigation, triage, and response workflows.
  • Develop and maintain prompts, workflow templates, automation logic, and operational controls.
  • Analyze workflow performance and identify opportunities to improve effectiveness, accuracy, and analyst experience.
  • Tune confidence thresholds, escalation logic, and decision workflows.
  • Support implementation of controls, guardrails, and monitoring mechanisms for AI-enabled processes.
  • Develop and track operational metrics, KPIs, and reporting related to workflow performance, adoption, detection quality, and analyst productivity.
  • Incorporate analyst feedback into workflow enhancements and continuous improvement efforts.
  • Support testing, validation, and rollout of new AI use cases, workflows, and model updates.
  • Document optimization recommendations, performance findings, and operational procedures.

Salary Range- $100,000-$110,000 a year

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