Secure AI & Cloud Innovation Engineer

Lodzplus

Łódź

Hybride

PLN 180 000 - 250 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Permanent contract
Coaching and development path
GenAI training and course subsidies
Employee Assistance Program
Private medical care

Résumé du poste

Accenture seeks a Secure AI Innovation Engineer for a hybrid security role blending Application, Cloud, and AI security. You will improve clients' security maturity, design secure architectures, and enable secure adoption of AI and Agentic AI technologies.

Responsibilities include threat modelling, CI/CD and IaC enhancements, and implementing end-to-end controls across cloud platforms. This role emphasizes automation, innovation and cross-team collaboration.

Qualifications

  • Background in IT, software development, cloud engineering or security.
  • Understanding of end-to-end architectures (monolithic, microservices, event-driven, cloud-native).
  • Foundational knowledge of Application Security, OWASP standards, secure coding and common attack techniques (XSS, SQLi, CSRF).
  • Basic to intermediate knowledge of cloud security, IAM, network and data security.

Responsabilités

  • Assess clients' security posture and define improvement roadmaps across apps, cloud and development practices.
  • Act as security advisor and propose modern, automated, efficient solutions.
  • Design end-to-end controls for applications, cloud infra, pipelines and environments.
  • Enable secure adoption of LLM-based and Agentic AI solutions.
  • Define guardrails and mitigate AI-specific risks (prompt injection, data leakage).
  • Embed security into SDLC/SSDLC with development, architecture and platform teams.
  • Improve CI/CD, IaC, APIs and cloud-native environments.
  • Conduct security assessments aligned with OWASP Top 10, ASVS and API Top 10.
  • Perform threat modelling for cloud-native and AI-enabled architectures.
  • Design secure architectures across Azure, AWS, GCP including IAM and data protection.
  • Secure containerized and cloud-native environments (Kubernetes).
  • Use automation and AI tools for vulnerability detection and threat detection.
  • Translate risks into clear recommendations for stakeholders.
  • Help clients build long-term security capabilities and modernize cloud foundations.

Connaissances

IT background
Cloud security
Application security
DevSecOps
CI/CD
Scripting languages
Python/Java/JS/C#/Go
Security risk translation

Formation

Bachelor's degree in CS or related field

Outils

Docker
Kubernetes
Azure
AWS
GCP

Description du poste

Accenture seeks a Secure AI Innovation Engineer for a hybrid security role blending Application, Cloud, and AI security. You will improve clients' security maturity, design secure architectures, and enable secure adoption of AI and Agentic AI technologies.

Responsibilities include threat modelling, CI/CD and IaC enhancements, and implementing end-to-end controls across cloud platforms. This role emphasizes automation, innovation and cross-team collaboration.

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