Embedded AI Security Engineer — Forward Deployed

Accenture; New York (NY); On-site; USD 87,000 - 316,000; Full time

Job summary

Accenture is seeking a Cybersecurity Forward Deployed Engineer to embed with a client’s security and engineering teams, delivering production-safe AI systems and measurable security posture improvements. You will own outcomes, build security tooling with AI co-authoring, and drive risk‑adjusted investments across complex AI programs.

You will lead architecture design sessions, threat modeling workshops, and code-with sessions while advancing enterprise‑level AI security controls and governance

Qualifications

• Minimum 8 years of engineering experience in production environments with a cybersecurity discipline depth in at least one area.
• 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 6 years of demonstrated 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 architecture

Threat modeling

Security delivery ownership

Cloud security fundamentals

Agentic coding

Communication with CISO/CFO

Education

Bachelor's degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture is seeking a Cybersecurity Forward Deployed Engineer to embed with a client’s security and engineering teams, delivering production-safe AI systems and measurable security posture improvements. You will own outcomes, build security tooling with AI co-authoring, and drive risk‑adjusted investments across complex AI programs.

You will lead architecture design sessions, threat modeling workshops, and code-with sessions while advancing enterprise‑level AI security controls and governance