Director, Security Engineering (Application & Cloud Security)

Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.

Job Description:

Uniphore is an AI company building agentic AI systems for the world’s largest enterprises. Our customers are banks, insurers, healthcare providers, and telecoms who hand us their most sensitive conversations and processes. Security is not a compliance exercise here. It is a condition of every deal we close.

We are hiring a Director of Security Engineering to own application and cloud security across the company and to build the security engineering practice for autonomous AI agents. As Uniphore moves from conversational AI to agents that carry out multi-step business processes on a customer’s behalf, the security problem shifts from protecting data at rest to protecting what an agent is allowed to decide, invoke, and act on.

This is a hands-on leadership role. You will lead a distributed engineering team, work daily with product engineering, and be the person the Head of Information Security and the executive team rely on to say whether a given architecture is defensible.

What You Will DoSecure the agentic AI platform

• Own the multi-year security roadmap for our AI products, including agent workflows, MCP, RAG pipelines, and AI-enabled services.

• Define and drive runtime security controls to protect against prompt injection, goal hijacking, unauthorized tool calls, data exfiltration, and other emerging AI threats.

• Own the security architecture for agent sandboxing and isolated execution, ensuring untrusted code and tool outputs cannot impact the host environment or other tenants.

• Build and lead a continuous AI red-team program focused on model, agent, and AI application security, including adversarial testing, data poisoning, model abuse, and privacy risks.

Own cloud and infrastructure security

• Define and enforce cloud security standards across AWS, GCP, and Azure, including requirements for protecting sensitive customer data and supporting zero-data-retention commitments.

• Establish secure identity and access models for workloads and AI agents, ensuring least-privilege access across cloud environments.

• Drive Infrastructure-as-Code security and cloud security posture management to maintain a consistent security posture across global environments.

• Partner with Security Operations, Engineering, and Cloud teams to improve cloud monitoring, detection, vulnerability management, and incident response.