Senior AI Engineer

About the role:

Forter is looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives in Forter, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.

Today, AI is central to how Forter operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.

Why should you join us?

This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, we’ll build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.

This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving Forter from the AI experimentation phase to building and leveraging AI-powered products.

What you will be doing:

• Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
• Develop and maintain our internal MCP server that easily and securely exposes Forter’s vast data stores to AI agents.
• Create and implement robust evaluation frameworks and AI guardrails to safeguard Forter’s value and ensure model reliability.
• Establish deep expertise and sustainable AI engineering practices.
• Promote AI readiness and track adoption across the company to build lasting impact.
• Build and optimize RAG (Retrieval-Augmented Generation) systems.
• Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
• Act as a consultant and advocate for AI engineering, helping other teams leverage the