Embedded AI Security Engineer - Production & Governance

Accenture; Mountain View (CA); On-site; USD 70,000 - 235,000; Full time

Job summary

Accenture Security seeks a Cybersecurity Forward Deployed Engineer in California to work embedded with a client’s security and engineering teams, making AI systems secure, governed, and resilient in real environments. You own outcomes: reduced attack surface, production-safe AI deployments, and measurable security posture improvements using Claude Code, Cursor, or GitHub Copilot as your primary tooling.

Role operates within Accenture’s Reinvention Delivery Engine, delivering end-to-end security

Qualifications

• Minimum of 3 years of engineering experience in production environments 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 of hands‑on experience designing and deploying agentic AI solutions in a production environment—non‑negotiable; theoretical familiarity does not qualify
• Minimum 3 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 (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Responsibilities

• Support 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
• Support 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)
• Assist with 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
• Contribute and support architecture design sessions, threat modeling workshops, and code‑with sessions with client engineering and security leadership teams

Skills

Security engineering

Threat modeling

Cloud security

Communication of risk

AI security

Education

Bachelor's degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture Security seeks a Cybersecurity Forward Deployed Engineer in California to work embedded with a client’s security and engineering teams, making AI systems secure, governed, and resilient in real environments. You own outcomes: reduced attack surface, production-safe AI deployments, and measurable security posture improvements using Claude Code, Cursor, or GitHub Copilot as your primary tooling.

Role operates within Accenture’s Reinvention Delivery Engine, delivering end-to-end security