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Accenture

Advises businesses and runs their technology

Cybersecurity Forward Deployed Engineer Manager

Security Engineering & ArchitecturePosted on Nov 11
Full-timeNo salary listed

About the Job

Requirements

  • Extensive production engineering experience with cybersecurity expertise in at least one area: application security, security operations or detection engineering, cloud security, identity and access management, offensive security or penetration testing, or governance, risk, and compliance.
  • Hands-on experience designing and deploying agentic artificial intelligence solutions in production environments; practical implementation experience is required.
  • Experience owning end-to-end security delivery in client-embedded or production environments; internal advisory or compliance-only experience is insufficient.
  • Experience with security across at least one cloud platform (AWS, Azure, or GCP), including identity and access management, network security, secrets management, and AI service security configurations.
  • A Bachelor's degree or equivalent professional experience; an Associate's degree is also considered alongside relevant work experience.
  • Ability to communicate security risk in business terms and translate threat exposure into risk-adjusted investment rationale for CISO or CFO decision-making.
  • Experience managing, developing, and performance-managing a team of engineers, setting individual development plans, and conducting career conversations.

Responsibilities

  • Lead design and implementation of security architectures for production AI systems, including large language models, multi-agent workflows, retrieval-augmented generation 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.
  • Lead threat modeling and implement security controls addressing AI-specific risks, including prompt injection, model extraction, adversarial attacks, and AI supply chain vulnerabilities, aligned with the OWASP LLM Top 10.
  • Design and oversee enterprise AI security controls for identity and access management, data pipelines, model deployment, and system integrations across AWS, Azure, or GCP.
  • Lead implementation of AI governance and risk management frameworks, including the EU AI Act, NIST AI Risk Management Framework, and model risk management practices for production AI environments.
  • Advise senior client stakeholders, including CISOs and CTOs, on AI security strategies, architecture roadmaps, governance operating models, and risk-based investment decisions.
  • Lead architecture design sessions, threat modeling workshops, and hands-on coding sessions with client engineering and security leadership teams.
  • Develop reusable security frameworks, playbooks, and accelerators to support consistent delivery across client engagements and contribute to growth of the Secure AI practice.
  • Work as part of a persistent, outcome-oriented delivery pod embedded in a client's technology organization, owning end-to-end outcomes across build, deploy, and optimize delivery cycles.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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