Production AI Security Engineer — Forward Deployed

Accenture; Mountain View (CA); On-site; USD 94,000 - 316,000; Full time

Job summary

Accenture in the United States is seeking a Cybersecurity Forward Deployed Engineer to embed with client teams, delivering secure, governed, and resilient AI deployments in real-world environments. You will own security outcomes, design threat models, and build tooling using Claude Code, Cursor, or GitHub Copilot to harden production systems and reduce attack surfaces.

This role requires deep cloud security expertise, client delivery experience, and the ability to translate risk into investable

Qualifications

• Minimum 8 years engineering with a cybersecurity discipline depth in at least one area: AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC
• Minimum 1 year hands-on experience designing and deploying agentic AI solutions in a production environment—non‑negotiable
• Minimum 6 years of end-to-end security delivery ownership experience in a client-embedded or production environment
• Minimum 6 years working with Cloud platform security fundamentals across at least one provider (AWS, Azure, or GCP)
• 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 agentic 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

Skills

AI security

Threat modeling

Security architecture

Cloud security

Identity & access mgmt

Secure coding

Team leadership

Education

Bachelor's degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture in the United States is seeking a Cybersecurity Forward Deployed Engineer to embed with client teams, delivering secure, governed, and resilient AI deployments in real-world environments. You will own security outcomes, design threat models, and build tooling using Claude Code, Cursor, or GitHub Copilot to harden production systems and reduce attack surfaces.

This role requires deep cloud security expertise, client delivery experience, and the ability to translate risk into investable