Job description

Network Security Engineer - AI Platforms Must Have Technical/Functional Skills • 5-10 years of experience in Network Security, Cloud Security, Infrastructure Security, or Cyber Security Engineering. Strong hands-on experience with: • Palo Alto Networks Firewalls • Cisco Firepower / ASA • Fortinet FortiGate • Check Point Firewalls • F5 Load Balancers • Zscaler • Netskope Experience securing AI and GenAI platforms including Azure OpenAI, Amazon Bedrock, Claude, ChatGPT Enterprise, and custom AI workloads. Strong understanding of: • Network Segmentation • Zero Trust Architecture • Secure Access Service Edge (SASE) • Software Defined Perimeter (SDP) • Micro-segmentation • Network Access Control (NAC) Expertise in: • Proxy Security • DNS Security • Secure Web Gateway (SWG) • Cloud Network Security • API Security Experience with cloud networking and security across: • Azure • AWS • GCP Knowledge of network protocols: • TCP/IP • DNS • HTTPS/TLS • VPN • BGP • OSPF Experience with IDS/IPS solutions and threat prevention technologies. Familiarity with EDR/XDR platforms and SIEM integration. Knowledge of AI-specific network risks including: • Data leakage • Unauthorized AI access • API abuse • Shadow AI traffic • AI model exposure Experience with security monitoring using Splunk, Microsoft Sentinel, QRadar, or similar platforms. Roles & Responsibilities • Design, implement, and manage secure network architectures supporting enterprise AI and GenAI platforms. • Secure AI traffic flows between users, applications, cloud services, and external AI providers. • Implement network segmentation and Zero Trust control s to protect sensitive AI environments. • Configure and manage firewalls, proxies, VPNs, SWGs, and cloud security controls. • Develop security controls for AI platform connectivity, APIs, and data exchanges. • Monitor network activity to detect unauthorized AI usage, anomalous traffic patterns, and potential threats. • Investigate and respond to network security incidents affecting AI applications and infrastructure. • Perform security assessments, vulnerability reviews, and architecture evaluations for AI deployments. • Work closely with Cloud, AI Engineering, Infrastructure, and Security Operations teams to ensure secure AI adoption. 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 & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. •Salary Range- $90,000-$100,000 a year </div

Requirements

Must-haves

Network Security Engineer - AI Platforms
Must Have Technical/Functional Skills
5-10 years of experience in Network Security, Cloud Security, Infrastructure Security, or Cyber Security Engineering.
Palo Alto Networks Firewalls
Cisco Firepower / ASA
Fortinet FortiGate
Check Point Firewalls
F5 Load Balancers
Experience securing AI and GenAI platforms including Azure OpenAI, Amazon Bedrock, Claude, ChatGPT Enterprise, and custom AI workloads.
Network Segmentation
Zero Trust Architecture
Secure Access Service Edge (SASE)
Software Defined Perimeter (SDP)
Micro-segmentation
Network Access Control (NAC)
Proxy Security
DNS Security
Secure Web Gateway (SWG)
Cloud Network Security
API Security
Experience with cloud networking and security across:
Experience with IDS/IPS solutions and threat prevention technologies.
Familiarity with EDR/XDR platforms and SIEM integration.
Knowledge of AI-specific network risks including:

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aiazureapiawsgcp

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave