Cybersecurity FDE Consultant

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NieokreśloneOn-site·WarszawaFull-time

#478734·Dodano wczoraj·1

Źródło: Accenture

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Tech Stack / Keywords

AILLMsRAGMLOpsAWS Azure GCPClaude CodeCursorGitHub Copilot

Podsumowanie oferty

As a production engineer embedded with a client’s enterprise, you make AI systems secure, governed, and resilient. You design security architectures and build security solutions for production LLMs, multi-agent workflows, RAG, and MLOps infrastructure.

Wymagania

Solid engineering experience in production environments with cybersecurity expertise in at least one area: AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC.
Hands-on experience designing and deploying agentic AI solutions in production environments; practical implementation experience is essential.
Good understanding and practical experience with cloud platform security across at least one provider (AWS, Azure, or GCP), including IAM, network security, secrets management, and AI service security configurations.
Bachelor’s degree or equivalent professional experience; an Associate’s degree is also considered alongside relevant work experience.
Proven ability to communicate security risk in business terms and translate threat exposure into risk-adjusted investment rationale for a CISO or CFO.

Obowiązki

AI Security Architecture & Engineering:

Support the design and implementation of security architectures for production AI systems, including LLMs, multi-agent workflows, RAG solutions, and MLOps infrastructure.
Develop AI-powered security solutions, including threat detection systems, automated response tools, security assessment frameworks, and governance automation, using Claude Code, Cursor, or GitHub Copilot.

AI Threat Management & Cloud Security:

Support threat modeling and implementation of security controls for AI-specific risks, including prompt injection, model extraction, adversarial attacks, and AI supply chain vulnerabilities, aligned with OWASP LLM Top 10.
Design and oversee enterprise AI security controls covering identity and access management, data pipelines, model deployment, and system integrations across AWS, Azure, or GCP.

AI Governance & Compliance:

Assist with implementing AI governance and risk management frameworks, including the EU AI Act, NIST AI RMF, and model risk management practices for production AI environments.

Client Advisory & Strategy:

Contribute to AI security strategies for senior client stakeholders, including CISOs and CTOs, supporting security roadmaps, governance operating models, and risk-based investment decisions.
Participate in architecture design sessions, threat modeling workshops, and hands-on coding sessions with client engineering and security leadership teams.

Practice Development:

Develop reusable security frameworks, playbooks, and accelerators to support consistent delivery across multiple client engagements and contribute to the growth of the Secure AI practice.

Inne informacje

Candidates must be based in Poland or the Czech Republic.
Travel may be required, varying from 0% to 100% depending on business need and client requirements.

Accenture

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