Production AI Security Engineer - Embedded & Impactful

Accenture; Kirkland (WA); On-site; USD 80,000 - 216,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid holidays

Paid time off

Bonus opportunities

Job summary

Accenture Security invites a Cybersecurity Forward Deployed Engineer to be embedded with a client's enterprise security and AI teams, delivering secure, governed AI deployments in real environments.

You will own outcomes—reducing attack surfaces, producing production-safe AI systems, and improving security posture across complex client environments. The role uses Claude Code, Cursor, or GitHub Copilot as primary tooling in daily practice.

Qualifications

• Minimum 3 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 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-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 risk communication

Education

Bachelor's degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture Security invites a Cybersecurity Forward Deployed Engineer to be embedded with a client's enterprise security and AI teams, delivering secure, governed AI deployments in real environments.

You will own outcomes—reducing attack surfaces, producing production-safe AI systems, and improving security posture across complex client environments. The role uses Claude Code, Cursor, or GitHub Copilot as primary tooling in daily practice.