Forward-Deployed AI Security Engineer

Accenture; Miami (FL); Presencial; USD 120.000 - 250.000; Jornada completa

Descripción de la vacante

Accenture Security is seeking a Cybersecurity Forward Deployed Engineer to embed with a client’s security and engineering teams, delivering production-ready AI security, governance, and resilience. You will own outcomes from design to deployment and work with agentic coding tooling as your primary delivery method.

You will join a Reinvention Delivery Engine pod, operating in 90-day cycles to own end-to-end outcomes across build, deploy, and optimize. Travel may be required.

Formación

• Minimum of 8 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 6 years of demonstrated end-to-end security delivery ownership experience in a client-embedded or production environment; internal advisory or compliance-only roles do not qualify
• Minimum 6 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

Responsabilidades

• 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

Conocimientos

AI security

Threat modeling

Agentic coding

Cloud security

IAM security

GRC

Educación

Bachelor's degree or equivalent

Herramientas

Claude Code

Cursor

GitHub Copilot

Descripción del empleo

Accenture Security is seeking a Cybersecurity Forward Deployed Engineer to embed with a client’s security and engineering teams, delivering production-ready AI security, governance, and resilience. You will own outcomes from design to deployment and work with agentic coding tooling as your primary delivery method.

You will join a Reinvention Delivery Engine pod, operating in 90-day cycles to own end-to-end outcomes across build, deploy, and optimize. Travel may be required.