Candidate Desired Profile:

Hands-on AI/GenAI + Cloud Architecture + AI services/platforms + basic Security

Key Technical Capabilities

- Cloud: AWS and Azure
- Azure: AI Foundry, Copilot Studio, Virtual Machines, Blob Storage and core Azure services
- AWS: Bedrock; SageMaker exposure is desirable
- AI: AI fundamentals, model training, embeddings, vector databases, How AI solutions are constructed and related AI architecture concepts
- Security: Foundational understanding of IAM, MFA and SSO
- Practical experience developing or working with AI services will be a strong advantage.

Responsibilities: AI Security Architecture, Design & Review (75%)

- Define & maintain target-state AI security architecture, reference patterns, and security/compliance requirements
- Conduct security architecture/design reviews for AI systems across on-prem, cloud, and SaaS environments
- Collaborate with Security Engineering/SRM to align platform & application security standards and embed into SDLC
- Partner with AI teams to gather, document, and understand requirements
- Establish logging/telemetry standards and control verification
- Create clear, accurate documentation (designs, review outcomes, standards) in ESA repositories

Technical Skills

- Strong understanding of AI/GenAI/Agentic AI concepts, AI agents, MCP, LLMs, and security controls
- Expertise in authentication, authorization, integration, data protection, model security, threat protection, and guardrails
- Deep knowledge of cryptography, network security, protocols, and systems
- Experience with SIEM, IDS/IPS, DLP, endpoint protection, vulnerability tools
- Cloud security expertise (AWS, Azure required; GCP/Ali preferred)
- Enterprise architecture knowledge (TOGAF)
- Programming/scripting (Python, PowerShell, JavaScript, SQL)
- OS knowledge (Windows, Linux, Unix)




- Compliance knowledge (ISO 42001, EU AI Act, NIST AI RMF, GDPR, US AI frameworks)

Soft Skills

- Strong analytical/problem-solving and risk assessment capability
- Excellent communication for technical & non-technical audiences
- Strategic thinking aligned to business needs and risk-based decisions
- Collaboration across global teams and stakeholders
- Leadership, mentoring AI security champions, driving initiatives

Security Engineering, Cyber Assurance, IAM & Compliance (25%)

- Support AI security frameworks, standards, and policies aligned to regulations and commitments
- Collaborate with Security Engineering, Cyber Assurance, IAM, and Compliance teams
- Support incident response, control implementation, IAM, and data protection governance
- Define measurable controls, manage exceptions, and risk acceptance
- Enable continuous control validation and control-as-code

Qualifications
- 10+ years in IT and cybersecurity with deep experience across multiple fields like security architecture and regional compliance
- Proven track record within enterprise security architecture and regulatory compliance programs
- Hands-on technical expertise with modern cloud services (security / platform / IAM / Organizational control policies)
- Hands-on experience with cloud hosted AI and ML building block services (AWS Bedrock, Bedrock Guardrails, Azure Foundry / Cognitive Services, SageMaker AI, S3, etc.)
- Expertise in IAM concepts, especially in the services built in AWS and Azure
- Robust grasp of ISO 27001, NIST CSF/800-53, and major regulatory regimes
- Ability to translate technical risk into business impact
- Presentation skills (technical & executive)
- Organized, articulate, detailed orientated
- Ability to multi-task, prioritize, work independently, and strong time management skills

📌 AI Security Architect (Bangalore Urban)
🏢 Aspiroite Consulting
📍 Bangalore Urban