Cybersecurity AI Forward Deployed Engineer - FDE - Consultant

Accenture; Irving (TX); On-site; USD 70,000 - 235,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Bonuses

Job summary

Accenture Security seeks a Cybersecurity Forward Deployed Engineer to embed with a client’s security and engineering teams, delivering production‑grade AI security, governance, and resilience in real‑world environments.

You own outcomes, reduce attack surfaces, and work with agentic coding tools like Claude Code, Cursor, or GitHub Copilot as your primary development environment to build detection and governance solutions.

Qualifications

• Minimum of 3 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 production—non-negotiable; 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) work experience; If Associate’s Degree, must have minimum 6 years work experience

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
• 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 coding

Threat modeling

Cloud security

Security architecture

Education

Bachelor's degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture Security helps organizations prepare, protect, detect, respond, and recover along with all points of the security lifecycle. Cybersecurity challenges are different for every business in every industry. Leveraging our global resources and advanced technologies, we create integrated, turnkey solutions tailored to our client's needs across their entire value chain. Whether we’re defending against known cyberattacks, detecting and responding to the unknown, or running an entire security operations center, we will help companies build cyber resilience to grow with confidence. Our team of the security sector’s brightest people uses the coolest tech to out-hack the hackers and help clients build resilience from within. We blend risk strategy, digital identity, cyber defense, application security, and managed service solutions to rethink the entire security lifecycle.

You Are

This is not a security consulting role. It is not a compliance advisory position. It is not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who works embedded inside a client’s enterprise—shoulder to shoulder with their security and engineering teams—to make AI systems secure, governed, and resilient in real, complex organizational environments. You own outcomes: reduced attack surface, production-safe AI deployments, measurable security posture improvement.

Agentic coding is not a supporting skill for this role—it is the primary method of delivery. You use Claude Code, Cursor, or GitHub Copilot as your standard operating environment. You build security tooling, detection systems, threat models, and governance frameworks with AI co-authoring the code alongside you. Engineers who treat AI tools as optional accelerators are not the profile. Engineers who cannot deliver without them are.

The Work

Cybersecurity FDEs operate as part of Accenture’s Reinvention Delivery Engine (RDE) Pod: a small, persistent, outcome-oriented team aligned to a client’s business domain or AI programme. The pod operates in 90‑day delivery cycles, owns end‑to‑end outcomes across build, deploy, and optimize, and embeds directly inside the client’s technology organization.

Key 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

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

• Minimum of 3 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 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) work experience. (If Associate’s Degree, must have minimum 6 years work experience

Professional Skills Requirements

• Proven ability to communicate security risk in business terms: can translate threat exposure into risk‑adjusted investment rationale a CISO or CFO would act on

Compensation

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. The scope of benefits may vary by role and location.

Annual Salary Range (U.S.)

• California $70,350 to $235,100
• Colorado $63,800 to $203,100
• Connecticut $63,800 to $203,100
• District of Columbia $68,000 to $216,300
• Illinois $59,100 to $203,100
• Maine $54,400 to $173,100
• Maryland $63,800 to $203,100
• Massachusetts $63,800 to $216,300
• Minnesota $63,800 to $203,100
• New York $66,300 to $235,100
• New Jersey $68,000 to $235,100
• Ohio $59,100 to $188,100
• Virginia $59,100 to $216,300
• Washington $80,200 to $216,300

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