Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture is seeking a Cybersecurity Forward Deployed Engineer at the Senior Manager level to collaborate closely with client security and engineering teams. The role centers on directing AI security architecture and governance while delivering hands-on security engineering to protect production AI deployments and elevate the client’s security posture.

Location

Minneapolis, Minnesota (onsite)

Compensation

Salary range: USD 122,700 to 366,300 per year.

Role Overview

The position focuses on embedding with client teams to lead the design and implementation of secure AI ecosystems. Core responsibilities include driving the security architecture for AI deployments, coordinating governance practices, and performing practical security engineering to defend production AI environments across complex, multi stakeholder programs.

Responsibilities

• Oversee AI security architecture and threat modeling for production agentic deployments across multi stakeholder client settings, including LLM systems, multi agent pipelines, RAG architectures, and MLOps infrastructure; manage the security design from initial assessment to hardened deployment
• Provide 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 with Claude Code, Cursor, or GitHub Copilot in daily delivery work
• Manage AI specific threat surfaces at program scale, addressing OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams
• Architect and govern security controls across the enterprise AI stack, including identity and access management for AI systems, data pipeline security, model serving security, and cross cloud integration risk
• Lead AI governance framework implementation aligned with regulatory and standards requirements such as EU AI Act, NIST AI RMF, and model risk management in live production environments
• Shape security strategy for client CISO and CTO with risk adjusted investment cases, architecture roadmaps, and operating models for AI governance that align with business goals
• 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 review sessions with client engineering and security leadership
• Demonstrate cybersecurity domain expertise in at least one area such as AppSec, SecOps, IAM, cloud, GRC, or offensive security
• Contribute to proposals and SOWs, shaping solutions and supporting client commercial engagement
• Facilitate executive workshops and communicate with C level security leadership and stakeholders
• Apply structured, hypothesis driven problem decomposition to complex security challenges
• Provide team leadership, coaching managers and consultants through delivery and development discussions

Requirements

• Minimum 10 years of engineering experience in production with deep cybersecurity expertise in at least one area such as AppSec, SecOps or detection engineering, cloud security, IAM, offensive security or GRC
• Minimum 2 years of hands on experience designing and deploying agentic AI solutions in production environments
• Minimum 8 years of end to end security delivery ownership in a client embedded or production setting; advisory or compliance only roles do not qualify
• Minimum 8 years of experience with cloud security fundamentals 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 work experience (minimum 12 years); if an Associate degree is held, a minimum of 6 years of work experience is required
• Ability to translate security risk into business terms and present risk adjusted investment rationale to CISO or CFO level stakeholders
• Experience in people leadership, including managing, developing, and conducting performance conversations with engineers

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