Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture is seeking a Cybersecurity Forward Deployed Engineer at a senior level to embed with client security and engineering teams. The role centers on directing AI security architecture, governance, and hands-on security engineering to secure production AI deployments and strengthen overall security posture.

Location

Minneapolis, MN (onsite)

Compensation

USD 122,700 - 366,300 per year

Experience and Education

• Minimum of 10 years of engineering experience in production environments with deep cybersecurity expertise in at least one discipline: AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC.
• Minimum 2 years of hands-on experience designing and deploying agentic AI solutions in a production environment. Theoretical familiarity does not qualify.
• Minimum 8 years of demonstrated end-to-end security delivery ownership experience in a client-embedded or production environment; internal advisory or compliance-only roles do not qualify.
• Minimum 8 years working with Cloud platform security fundamentals across at least one provider (AWS, Azure, or GCP): IAM, network security, secrets management, and AI service security configurations.
• Bachelor's degree or equivalent work experience (minimum 12 years). If holding an Associate’s Degree, a minimum of 6 years of work experience is required.
• Proven ability to communicate security risk in business terms, translating threat exposure into risk-adjusted investment rationale appropriate for a CISO or CFO.
• People leadership experience, including developing, coaching, and performance managing engineers; setting development plans and conducting career conversations.

Responsibilities

• Lead AI security architecture and threat modeling for production deployments across complex, multi-stakeholder environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure; own the security design from assessment through hardened deployment.
• Deliver hands-on security engineering using agentic coding tools as the primary build environment, building AI-powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot in daily delivery practice.
• Own AI specific threat surface management at program scale, covering OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defences, and AI supply chain security across concurrent client workstreams.
• Architect and govern AI security controls across the enterprise stack, including identity and access for AI systems, data pipeline security, model serving security, and multi-system integration risk across cloud platforms (AWS, Azure, or GCP).
• Lead AI governance framework implementation, applying EU AI Act, NIST AI RMF, and model risk management to live production systems.
• Shape AI reinvention security strategy for client CISO and CTO, building risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to commercial outcomes.
• Define and publish reusable security patterns, playbooks, and accelerators to scale across multiple client engagements and grow the Secure AI practice.
• Lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.
• Provide cybersecurity domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security).
• Engage in proposal and SOW development, solution shaping, and client commercial engagement.
• Facilitate executive workshops and communicate at the C-suite / CISO level.
• Apply structured analytical thinking and hypothesis-driven problem decomposition to complex security challenges.
• Lead and coach a team of managers and consultants through delivery, fostering professional development and performance.

Technologies

Claude Code, Cursor, GitHub Copilot, AWS, Azure, GCP

Benefits

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off