Appscrip - Software Security Architect - AI / ML Platform

Senior Software Security Architect

We are seeking a highly experienced Senior Software Security Architect to lead the design and enforcement of robust security architectures across our AI and machine learning platforms.

This role focuses on ensuring the secure design, implementation, and operation of AI systems, including agentic AI, large language model (LLM) integrations, and machine learning pipelineswhile aligning with modern DevSecOps and enterprise compliance standards.

Key Responsibilities

• Architect Secure AI Systems : Design end-to-end security for AI / ML systems, including model training pipelines, data ingestion workflows, inference APIs, and agentic AI orchestration (e.g., using n8n, LangChain, Azure ML, etc.)
• Threat Modeling & Risk Assessment : Conduct in-depth threat modeling and risk assessments for AI applications, including adversarial attacks, model poisoning, data leakage, prompt injection, and misuse of LLMs.
• Policy & Governance : Establish and enforce AI-specific security policies including Model Context Protocol (MCP) integration, audit trails, data access controls, and responsible AI guidelines.
• Secure Code & Infrastructure : Guide engineering teams on secure development practices for AI workloads running on cloud-native infrastructure (e.g., Kubernetes, Azure, AWS, GCP) and integrating with vector databases and APIs.
• Data Privacy & Compliance : Ensure AI systems comply with regulatory and industry standards (GDPR, NIST, ISO 27001, etc.), with a focus on data provenance, lineage, and user privacy.
• Tooling & Automation : Evaluate and implement security automation tools (e.g., SAST / DAST, SBOM scanning, model validation, AI-specific security tools) within CI / CD pipelines.
• Incident Response & Monitoring : Define AI-specific observability and response strategies for misuse, model drift, unauthorized access, and data exfiltration.
• Cross-Team Leadership : Collaborate with platform engineers, AI / ML teams, enterprise architects, and legal / compliance stakeholders to drive secure-by-design principles across the AI ecosystem.

Required Qualifications

Preferred Qualifications

(ref : hirist.tech)

Skills Required

Kubernetes, Pulumi, Java, Typescript, Risk Assessment, Python, Terraform, threat modeling , Azure Devops, Azure ML