Cybersecurity Forward Deployed Engineer - FDE - Consultant
Job Description
Accenture is seeking a Cybersecurity Forward Deployed Engineer, FDE, Consultant to work onsite in New York, NY. This role places you inside a client environment to secure, govern, and harden AI systems, owning outcomes like reducing the attack surface and enabling production-safe AI deployments in close collaboration with security and engineering teams. The compensation range for this position runs from USD 59,100 to 235,100 per year.
Responsibilities
- Support AI security architecture and threat modeling for production agentic deployments across complex multi-stakeholder client environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure, owning the security design from assessment through hardened deployment.
- Deliver hands-on security engineering using agentic coding tools as the primary build environment, developing AI-powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation with Claude Code, Cursor, or GitHub Copilot in daily delivery practice.
- Support AI-specific threat surface management at programme scale, covering 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, including identity and access for AI systems, data pipeline security, model serving security, and cross-system risk management across cloud platforms (AWS, Azure, or GCP).
- Assist with AI governance framework implementation, applying EU AI Act, NIST AI RMF, and model risk management to live production systems rather than theoretical compliance exercises.
- Shape AI reinvention security strategy for client CISO and CTO, building risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to business outcomes.
- Define and publish reusable security patterns, playbooks, and accelerators that scale across multiple client engagements and expand the Secure AI practice.
- Contribute to architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.
Requirements
- Minimum of 3 years of engineering experience in production environments with deep cybersecurity specialization 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; 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) of work experience; if holding an Associate’s Degree, a minimum of 6 years of work experience.
Technologies
- Claude Code
- Cursor
- GitHub Copilot
- AWS
- Azure
- GCP
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
The Work
Cybersecurity FDEs operate as part of Accenture’s Reinvention Delivery Engine (RDE) Pod, a compact, outcome-driven team aligned to a client’s business domain or AI programme. The pod follows 90-day delivery cycles, owns end-to-end outcomes across build, deploy, and optimize, and embeds directly within the client’s technology organization.
Here's What You Need
- Minimum of 3 years of engineering experience in production environments with deep cybersecurity specialization 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 production environments.
- Minimum 3 years working with cloud platform security fundamentals across AWS, Azure, or GCP: IAM, network security, secrets management, and AI service security configurations.
- Bachelor's degree or equivalent work experience (minimum 12 years); if holding an Associate’s Degree, a minimum of 6 years of work experience.
Professional Skills Requirements
Excellent ability to translate security risk into business terms, articulating threat exposure in a way that a CISO or CFO would act on for investment decisions.