Embedded AI Security Engineer for Production Deployments

Accenture; Houston (TX); On-site; USD 120,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture Security is seeking a Cybersecurity Forward Deployed Engineer to work embedded inside a client's enterprise, partnering with security and engineering teams to secure AI systems in real-world environments. You will own outcomes such as reduced attack surface, production-safe AI deployments, and measurable improvements in security posture.

This role uses agentic coding tools—Claude Code, Cursor, or GitHub Copilot—daily to build AI-powered detection, governance automation, and secure

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.
• Minimum 3 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 or 6 years with Associate’s Degree.

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

Cybersecurity engineering

Agentic AI deployments

Cloud security fundamentals

Threat modeling

Security architecture

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture Security is seeking a Cybersecurity Forward Deployed Engineer to work embedded inside a client's enterprise, partnering with security and engineering teams to secure AI systems in real-world environments. You will own outcomes such as reduced attack surface, production-safe AI deployments, and measurable improvements in security posture.

This role uses agentic coding tools—Claude Code, Cursor, or GitHub Copilot—daily to build AI-powered detection, governance automation, and secure