Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture is seeking a senior security leader to guide the risk and resilience of AI systems in production. This on site role in St. Louis focuses on making AI platforms secure, governed, and reliable, guiding security architecture and end to end delivery across complex client environments. The Forward Deployed Engineer Senior Manager leads hands-on security engineering and governance efforts that turn security concepts into live, secure AI deployments.

Responsibilities

• Spearhead security architecture and threat modeling for production grade agentic deployments across multi stakeholder client environments, including LLM systems, multi agent pipelines, RAG architectures, and MLOps infrastructure, owning end to end security design from assessment to hardened deployment.
• Provide hands on security engineering using agentic coding tools as the primary build environment; develop 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, implementing 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 AI security controls across the enterprise stack, including identity and access for AI systems, data pipeline security, model serving security, and cross system integration risk across cloud platforms (AWS, Azure, or GCP).
• Lead AI governance framework implementation aligned to EU AI Act, NIST AI RMF, and model risk management applied 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 business outcomes.
• Define and publish reusable security patterns, playbooks, and accelerators that scale across multiple client engagements and grow the Secure AI practice.
• Lead architecture design sessions, threat modeling workshops, and code with sessions alongside client engineering and security leadership teams.
• Demonstrate cybersecurity domain expertise in at least one discipline such as AppSec, SecOps, IAM, cloud, GRC, or offensive security.
• Participate in proposal and SOW development, solution shaping, and client commercial engagement.
• Facilitate executive workshops and communicate with C suite and CISO level stakeholders.
• Apply structured analytical thinking and hypothesis driven problem decomposition to security challenges.
• Provide team leadership by developing and coaching managers and consultants through delivery.

Requirements

• Minimum of 10 years of engineering experience in production environments with deep expertise in at least one cybersecurity discipline such as AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC.
• At least 2 years of hands on experience designing and deploying agentic AI solutions in production; theoretical familiarity does not qualify.
• A minimum of 8 years of end to end security delivery ownership in a client embedded or production environment; internal advisory or compliance only roles do not qualify.
• Eight years of work with cloud platform security fundamentals across AWS, Azure, or GCP, including IAM, network security, secrets management, and AI service security configurations.
• Bachelor's degree or equivalent work experience; if holding an Associate's degree, a minimum of 6 years of work experience applies.

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

Professional Skills Requirements

• Ability to translate security risk into business terms, framing threat exposure into risk adjusted investment rationale that executives would act on
• Experience leading teams of engineers, including coaching, development planning, performance management, and career conversations