Cybersecurity FDE Senior Manager

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SeniorOn-site·WarszawaFull-time

#478736·Dodano wczoraj·1

Źródło: Accenture

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Tech Stack / Keywords

LLMsRAGMLOpsClaude CodeCursorGitHub CopilotAWS Azure GCPOWASP LLM Top 10

Podsumowanie oferty

As a Cybersecurity Forward Deployed Engineer, you work inside a client’s enterprise to make production AI systems secure, governed, and resilient. You lead security architecture and engineering for systems including LLMs, multi-agent workflows, RAG solutions, and MLOps infrastructure.

Wymagania

Extensive 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.
Strong hands-on experience designing and deploying agentic AI solutions in production environments; practical implementation experience is essential.
Extensive experience owning end-to-end security delivery in client-embedded or production environments; experience limited to internal advisory or compliance activities is not sufficient.
Strong 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.
Experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations.

Obowiązki

AI Security Architecture & Engineering

Lead 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 tools such as Claude Code, Cursor, or GitHub Copilot.

AI Threat Management & Cloud Security

Lead threat modeling and implement security controls to address 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

Lead the implementation of 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

Advise senior client stakeholders, including CISOs and CTOs, on AI security strategies, architecture roadmaps, governance operating models, and risk-based investment decisions.
Lead client workshops, architecture reviews, and hands-on technical sessions while supporting solution development, proposals, and Statements of Work (SOWs).

Leadership & Practice Development

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

Inne informacje

Open to candidates based in Poland or the Czech Republic.
Travel may be required; the amount may vary from 0 to 100% depending on business need and client requirements.

Accenture

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