Senior AI Platform Engineer - Security

Esko, a Veralto company; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Esko is seeking a Senior AI Platform Engineer - Security in Bangalore to own the security of our AI platform. You will shape security architecture, build identity and policy controls, and secure AI workflows across tenants, users and tools, collaborating with cloud, security, and compliance teams.

You will design threat models, perform adversarial testing, and implement scalable platform controls to balance security with usability, enabling faster production of secure AI features for diverse

Qualifications

• 7+ years in software engineering with security focus
• Experience securing cloud, distributed, or platform services
• Threat modelling and security testing experience
• Experience with AI systems security and multi-tenant architectures
• Ability to design reusable platform controls and APIs
• Strong communication across security, engineering and product teams
• Undergraduate to Doctoral level in CS/ML/DS/AI or related fields
• Excellent written and verbal communication in English

Responsibilities

• Shape security architecture for AI Platform with end-to-end ownership
• Design identity, authorization and policy enforcement controls
• Secure prompts, data access, and action execution against AI systems
• Implement risk-based controls, isolation and approval gates
• Build audit and monitoring capabilities for security events
• Lead threat modelling and adversarial testing
• Collaborate with cloud, security, compliance, and product teams to integrate controls

Skills

Python

TypeScript

LLMs

RAG

Education

CS/ML/DS/AI degree

Tools

Kubernetes

CI/CD

Job description

Senior AI Platform Engineer - Security

Location: Bangalore (Quarterly visit for weeks.) Function: Software Engineering Reports to: Engineering Manager, Esko AI

About the role

Esko’s products handle sensitive customer content and support business-critical workflows. AI-powered and agentic systems introduce additional security challenges because they combine access to sensitive data, specialized tools, and potentially consequential actions within those workflows.

We are building shared security foundations for Esko’s AI Platform so product teams can develop AI capabilities without implementing critical controls independently. As part of the platform team, you will help shape and build these foundations, taking end-to-end ownership of substantial security areas.

You will collaborate closely with Esko’s cloud platform teams, security engineers, compliance specialists, and product engineering teams to develop controls that are secure, practical, and reusable across products. This is a hands-on engineering role, not a compliance or review position.

What you will do

• Help shape the AI Platform’s security architecture and take end-to-end ownership of substantial security components.
• Design and build identity, authorization, delegated-access, and policy-enforcement controls for AI systems, including tenant-, user-, document-, and tool-level permissions.
• Secure retrieval, tool use, and execution against prompt injection, unauthorized actions, data leakage, and other AI-specific threats.
• Design controls proportionate to the risk of an action, including approval gates, isolation, execution limits, and recovery mechanisms.
• Build audit and monitoring capabilities so security-relevant activity is traceable and high-risk behavior can be detected, investigated, and routed for appropriate review.
• Conduct threat modelling and adversarial testing, translating findings into shared platform controls and secure defaults for product teams.
• Work with cloud platform teams, security engineers, compliance specialists, and product engineering teams to integrate controls that satisfy Esko’s security obligations while remaining practical to adopt and operate.

What we are looking for

• Strong software engineering experience designing, building, and operating secure production systems in Python, TypeScript, or a similar language.
• At least 7 years’ experience in a software engineering role with experience securing cloud, distributed, or platform services, including authentication, authorization, policy enforcement, and multi-tenant isolation.
• Practical experience with threat modelling, application security testing, and turning identified risks into effective engineering controls.
• Experience designing or building systems using LLMs, retrieval-augmented generation, or agents, with an understanding of their distinctive security failure modes.
• Experience building reusable platform controls, APIs, or shared services used by multiple engineering teams.
• Sound judgement in balancing security, usability, and operational complexity, including recognizing when stronger isolation or human approval is required.
• Ability to communicate security decisions and tradeoffs clearly across engineering, security, compliance, and product stakeholders.
• Undergraduate, Master’s degree or PhD in Computer Science / Machine Learning / Data Science / Artificial Intelligence, or related disciplines.
• Excellent written and verbal communication, with the ability to work fluently with both technical and business stakeholders alike.

Preferred experience

• Multi-tenant enterprise SaaS platforms.
• Permission-aware retrieval systems.
• Tool-calling systems or workflow automation.
• Adversarial testing or security evaluation for AI systems.
• Sandboxing untrusted files or code.
• MCP or similar tool-integration protocols.
• Document, graphics-processing, or other content-centric platforms.

What success looks like

• Agents operate with scoped permissions.
• Sensitive actions require appropriate approval.
• Retrieval respects customer access boundaries.
• Agent activity is fully auditable.
• Automated means are in place to detect high-risk activities which are alerted for further review.
• Product teams adopt shared security controls.
• Secure AI features reach production faster.

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.