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Wipro
AI SECURITY ARCHITECT
Career Insights for Artificial Intelligence Engineer (General)
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$125,739 / year median in Texas
Job Description
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Job Title:
AI SECURITY ARCHITECT
City:
The Woodlands State/Province:
Texas Posting Start Date:
7/16/26 Wipro Limited (NYSE:
WIT, BSE
507685,NSE:
WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.Job Description:
Job Description Title:
AI Security Architect Location:
Houston TX - onsiteDuration:
Contract You will help secure data pipelines, AI models, and platforms while also contributing to the development and deployment of AI-powered security solutions, including AI agents that automate or enhance security processes. Responsibilities - AI Agents & Automation- Support the design and creation of AI agents that enhance information security capabilities.
- Create and maintain automated agents to handle mundane and repeatable security requests, such as:
- Access and entitlement reviews
- Evidence collection for audits and compliance
- Policy guidance and security FAQs
- Intake and triage of security questionnaires and risk assessments
- Security documentation and reporting
- Define and implement guardrails for AI agents, such as:
- Role-based access controls and least-privilege permissions
- Human-in-the-loop approvals for sensitive or high-risk actions
- Logging, monitoring, and auditability of agent activity
- Clear escalation paths when confidence thresholds or policy boundaries are exceeded
- Collaborate with engineering, data, and AI teams to integrate AI agents into existing workflows
- Test and validate AI-driven security tools to ensure accuracy, reliability, and ethical use
- Participate in security reviews for new data and AI initiatives
- Define key performance indicators to measure the effectiveness of AI agent automation ͏ Do 1.