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Bridge 351

AI Security / GenAI Engineer

Posted 4 months ago
5-10 years experience
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AI Summary

The role involves refining GenAI user stories and aligning the GenAI scope with the Enterprise Architecture team. The engineer will assess the feasibility, risks, and security implications of GenAI implementations while acting as a technical partner for decision-making.

GenAI Engineer

  • Refine GenAI user stories end-to-end (incl. acceptance criteria/dependencies)

  • Ownership of the GenAI scope and alignment with the EA team on scope, complexity and estimates

  • Assess and validate GenAI impact on EA (feasibility, risks, architecture/data/security implications).

  • Act as technical partner for the team on GenAI decisions and coordination

Tech Stack (sorted by priority):

  • Fluent and proficient usage of Agentic Development Tools as a software development and analysis tool (Claude Code, should be able to well articulate usage of Skills, MCP servers, Rules and Commands for a reliable and AI augmented daily development workflow)

  • Thorough understanding of Agentic Systems design patterns and techniques

  • Python, Vector stores and semantic search, Prompt Engineering and LLM call parametrization

  • Experience with serverless architectures, most used services and integration on AWS (in order to own/maintain and extend all the existing and upcoming GenAI services served to the main application)

  • DBT / snowflake understanding

Required Experience

-Background in security (application, cloud, or architecture)

-Understanding of GenAI / LLM-based solutions

-Experience with security reviews and defining technical controls

-Knowledge of data protection and privacy principles

Preferred Experience

-Familiarity with AWS and/or Azure environments

-Experience with AWS Bedrock or similar GenAI platforms

-Experience with Databricks, including securing:

.ML workflows and pipelines

.Notebooks and jobs

.Access control and data permissions

-Familiarity with:

.OWASP Top 10 for LLMs / Agentic AI

.SAIF (Secure AI Framework)

.Model Context Protocol (MCP), including MCP-38

.Agent-to-Agent (A2A) architectures

-Exposure to DevSecOps / MLOps

Core Skills

-Can translate security into clear technical requirements

-Strong risk identification and prioritization

-Able to challenge and validate implementations effectively

-Works well with security, engineering, and data teams

-Focused on practical, enforceable controls

What can you expect from us?

Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.

100% Remote opportunities

We want you to have the flexibility to work where you feel most comfortable and productive.

International Career

  • You can expect professional growth and to be connect with the world.

  • We are represented in Portugal, Belgium, Luxembourg, and Denmark.

  • And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)

Extra Benefits & Perks

If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!

As a plus, we provide Health and Life Insurance.

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