Enterprise Architect – Cloud & AI Security (IT/OT)

Full Description

We are looking for an Enterprise Architect – Cloud & AI Security (IT/OT) to help design and govern secure, scalable cloud and AI platforms across enterprise IT and Operational Technology (OT) environments.

Key Responsibilities

Cloud Infrastructure Architecture

• Design and review cloud architectures across Azure, AWS, and/or Google Cloud

• Support hybrid and multi‑cloud connectivity, network segmentation, and high availability

• Define architecture standards, guardrails, and best practices for cloud platforms

• Review vendor and internal solution designs for security, performance, and cost efficiency

AI & Machine Learning Security

• Define secure architectures for AI/ML workloads, including data pipelines and model deployment

• Identify and mitigate AI‑specific security risks such as data poisoning, model exposure, and misuse

• Support secure MLOps / LLMOps practices including access control, encryption, and monitoring

• Ensure AI solutions align with data privacy, security, and governance requirements

IT / OT Security Architecture

• Support secure integration between IT and OT environments (ICS, SCADA, IIoT)

• Define network segmentation and security zoning aligned with industry standards

• Work with OT and engineering teams to ensure secure remote access and vendor connectivity

• Contribute to OT incident response planning and security assessments

Governance, Risk & Compliance

• Ensure architectures align with security frameworks and regulatory requirements

• Participate in architecture and security reviews for high‑impact initiatives

• Maintain documentation, reference architectures, and design standards

• Support risk assessments and remediation planning

Collaboration & Knowledge Sharing

• Work closely with CloudOps, SecOps, Data/AI, and OT teams

• Provide architectural guidance and technical mentoring when required

• Engage with vendors and system integrators to validate proposed solutions

Required Qualifications

Education

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field

Experience

• 7–10 years of experience in cloud infrastructure, security architecture, or enterprise IT

• Hands‑on experience designing secure cloud environments

• Exposure to AI/ML platforms and OT environments is highly desirable

Technical Skills

• Cloud platforms: Azure, AWS, and/or GCP

• Networking: TCP/IP, routing, segmentation, VPNs, hybrid connectivity

• Security controls: IAM, encryption, network security, monitoring

• Understanding of AI/ML security concepts and data protection

• Familiarity with OT/ICS security principles and segmentation models

• Knowledge of DevSecOps, IaC, or automation tools is a plus