AI Security Architect

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AI Security Architect

Alter Domus

Hyderabad

7+ years

Today

$55.4K–69.9K/yr

Full-time

Hybrid

Skills Required LLM Security

Gen AI

LangChain

LlamaIndex

OpenAI

Claude

Prompt Injection

Adversarial Machine Learning

AI Red Teaming

Python

TensorFlow

PyTorch

Pandas

Scikit-learn

NumPy

Description Alter Domus is hiring an AI Security Architect to design and govern secure AI use across the enterprise. The role combines cybersecurity architecture, AI/ML security, observability, and governance in a hybrid Hyderabad setup.

Company: Alter Domus

Role: AI Security Architect

Location: Hyderabad, India | Hybrid

Experience

• 7+ years in cybersecurity architecture or engineering roles
• 2+ years of hands-on AI/ML development experience
• Experience working in AI/ML or data engineering environments
• Experience designing observability and structured logging solutions for AI/ML systems
• Experience with cloud security platforms and AI services across AWS, Azure, and/or GCP

Responsibilities

• Design secure-by-design architecture guidelines for AI/ML platforms across ingestion, training, deployment, and inference
• Define reference security architectures, patterns, and guardrails for secure AI development
• Design risk-based AI security controls for regulatory and enterprise requirements
• Partner with engineering teams to automate and embed security guardrails into AI pipelines and toolchains
• Create and maintain guardrails for integrating AI security tools with enterprise infrastructure
• Analyze and build security requirements for AI-powered solutions at enterprise scale
• Design and enforce MCP security controls for agentic workflows, including tool allowlisting, trust boundaries, and prompt-level access controls
• Architect MCP gateway integrations to prevent unauthorized tool invocation, privilege escalation, and sensitive data leakage
• Define policies for MCP server authentication, authorization scopes, and least-privilege access
• Implement rate limiting, input/output filtering, content inspection, and sandboxing for MCP-enabled workflows
• Evaluate third-party MCP plugins and tools for security risks before deployment
• Collaborate with platform and AI engineering teams to operationalize MCP guardrails across environments
• Evaluate AI tools and ecosystems including OpenAI, Claude, and Cursor
• Understand model architectures, prompt engineering, and security implications of model configuration and deployment
• Work with vendors on AI security tool evaluation, procurement discussions, and implementation
• Integrate AI capabilities into security analytics, dashboards, and workflow automation
• Design observability frameworks for prompt/response logging, model telemetry, agent trails, and data pipeline audit logs
• Develop detection use cases for prompt injection, jailbreaks, data exfiltration, anomalous agent behavior, and model drift
• Build security dashboards and KPIs to measure AI security posture and surface risks to leadership
• Establish feedback loops between detection findings and architecture controls
• Identify and research AI threats such as model inversion, data poisoning, evasion, data leakage, prompt injection, and adversarial ML attacks
• Lead AI-specific risk assessments and security design reviews
• Develop adversarial testing frameworks and work with red teams to validate model resilience
• Stay current with emerging AI security threats, research, and defensive techniques
• Present findings to technical and executive stakeholders
• Establish security policies for ethical and responsible AI use
• Ensure compliance with NIST AI RMF, ISO 42001, GDPR, HIPAA, PCI-DSS, and SOC 2
• Collaborate with IT, data engineering, and product teams to embed security into AI development lifecycles
• Lead cross-functional projects to integrate AI security controls across business units
• Develop metrics and KPIs to measure the effectiveness of the AI security programme and report outcomes to executive leadership

Additional Responsibilities

• Support secure AI development while minimizing manual review friction
• Build and maintain consistent enforcement of MCP guardrails across environments
• Use cloud-native security monitoring tools for observability
• Apply data science libraries and big data tec…