Senior AI Security Forward-Deployed Engineer

Accenture

Denver (CO)

On-site

USD 133,000 - 316,000

Full time

14 hours ago
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Benefits offered by this job

Medical Benefits
Dental & Vision
401(k) Plan
Bonus Opportunities
Paid Holidays
PTO

Job summary

Accenture Security recruits a Cybersecurity Forward Deployed Engineer to embed with client teams and secure AI systems across enterprise environments. You will own outcomes: reducing attack surface, enabling secure AI deployments, and improving security posture with tooling and governance frameworks.

The role requires deep production engineering experience and hands-on design of agentic AI security controls, with travel as needed for client engagements.

Qualifications

  • Minimum of 10 years of engineering experience in production with a cybersecurity discipline depth in at least one area.
  • Minimum 2 years of hands-on experience designing and deploying agentic AI solutions in a production environment—non-negotiable.
  • Minimum 8 years of demonstrated end-to-end security delivery ownership experience in a client-embedded or production environment.
  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Responsibilities

  • Lead AI security architecture and threat modeling for production deployments across complex multi-stakeholder client environments—LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure—owning the full security design from assessment through hardened deployment
  • Deliver hands-on security engineering using agentic coding tools as the primary build environment: build 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 programme scale: 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: 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: EU AI Act, NIST AI RMF, and model risk management applied to live production systems, not theoretical compliance exercises
  • Shape AI reinvention security strategy for client CISO and CTO: build 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 that 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
  • Cybersecurity domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security)
  • Proposal and SOW development, solution shaping, and client commercial engagement
  • Executive workshop facilitation and C-suite / CISO-level communication
  • Structured analytical thinking and hypothesis-driven problem decomposition
  • Team leadership: developing and coaching managers and consultants through delivery

Skills

AI security architecture
Threat modeling
Agentic AI
Cloud security
IAM & data security
GRC
Security leadership
CISO communication
Production engineering
AI tooling

Education

Bachelor's degree or equivalent work experience

Tools

Claude Code
Cursor
GitHub Copilot

Job description

Accenture Security recruits a Cybersecurity Forward Deployed Engineer to embed with client teams and secure AI systems across enterprise environments. You will own outcomes: reducing attack surface, enabling secure AI deployments, and improving security posture with tooling and governance frameworks.

The role requires deep production engineering experience and hands-on design of agentic AI security controls, with travel as needed for client engagements.

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