AI Security Forward-Deployed Engineer — Senior Manager

Accenture; City of Albany (NY); On-site; USD 123,000 - 366,000; Full time

Job summary

Accenture Security is seeking a Cybersecurity Forward Deployed Engineer to secure AI systems, govern access, and reduce attack surfaces inside a client’s enterprise. You’ll work shoulder-to-shoulder with security and engineering teams to deliver production-grade AI security capabilities and governance.

You will lead architecture design, threat modeling, and tooling development using Claude Code, Cursor, or GitHub Copilot, guiding multiple client engagements and shaping scalable Secure AI

Qualifications

• Minimum of 10 years of engineering experience in production environments with cybersecurity depth.
• At least 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

Engineering experience

Cybersecurity discipline

AppSec

SecOps

Cloud security

IAM

GRC

Offensive security

Penetration testing

Education

Bachelor's degree

Equivalent work experience

Job description

Accenture Security is seeking a Cybersecurity Forward Deployed Engineer to secure AI systems, govern access, and reduce attack surfaces inside a client’s enterprise. You’ll work shoulder-to-shoulder with security and engineering teams to deliver production-grade AI security capabilities and governance.

You will lead architecture design, threat modeling, and tooling development using Claude Code, Cursor, or GitHub Copilot, guiding multiple client engagements and shaping scalable Secure AI