AI Security Forward-Deployed Engineering Lead

Accenture PLC; Atlanta (GA); On-site; USD 130,000 - 320,000; Full time

Job summary

Accenture Security seeks a Cybersecurity Forward Deployed Engineer to embed with clients, delivering production-grade AI security architecture, threat modeling, and governance. You will lead risk-based design across LLMs, AI pipelines, and cloud integrations while shaping reusable security patterns and accelerators for multiple engagements.

Responsibilities include hands-on security engineering with agentic coding tools, security controls across the enterprise stack, and executive-level

Qualifications

• Minimum of 10 years of engineering experience in production environments with a cybersecurity discipline depth in at least one area.
• Minimum 2 years hands-on experience designing and deploying agentic AI solutions in a production environment—non-negotiable; theoretical familiarity does not qualify
• Minimum 8 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 8 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.

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
• Cybersecurity domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security)
• Proposal and SOW development, solution shaping, and client commercial engagement
• Executive workshop facilitation and C-suite / CISO-level communication
• Structured analytical thinking and hypothesis-driven problem decomposition
• Team leadership: developing and coaching managers and consultants through delivery

Skills

Security architecture

Threat modeling

Agentic AI

Cloud security

Leadership

Communication

Education

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

Job description

Accenture Security seeks a Cybersecurity Forward Deployed Engineer to embed with clients, delivering production-grade AI security architecture, threat modeling, and governance. You will lead risk-based design across LLMs, AI pipelines, and cloud integrations while shaping reusable security patterns and accelerators for multiple engagements.

Responsibilities include hands-on security engineering with agentic coding tools, security controls across the enterprise stack, and executive-level