Cybersecurity AI Forward Deployed Engineer - FDE - Manager

Cybersecurity Jobs; Austin (TX); On-site; USD 87,000 - 316,000; Full time

Benefits offered by this job

Medical, dental, vision, life, and LTD

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture seeks an AI Forward Deployed Engineer Manager to embed in client environments, securing AI systems in production with hands-on security engineering and governance delivery. You will drive threat modeling, security controls, and risk-informed investment decisions alongside client CISOs and CTOs.

The role requires leading security architecture across cloud platforms and enterprise stacks, including IAM, data security, and model risk management, in an onsite Austin setting with broad

Qualifications

• 8+ years engineering experience in production with cybersecurity depth in at least one area.

Responsibilities

• Lead AI security architecture and threat modeling for production deployments across complex client environments, owning the security design from assessment through hardened deployment for LLM systems, multi‑agent pipelines, RAG architectures, and MLOps infrastructure.

Skills

AI security architecture

Threat modeling

People leadership

Security engineering

Risk communication

Cloud security

GRC

Education

Bachelor’s degree or equivalent

Associate’s degree acceptable with 6+ years

Tools

Claude Code

Cursor

GitHub Copilot

AWS

Azure

GCP

Job description

The Cybersecurity AI Forward Deployed Engineer Manager role is embedded in client environments to help secure AI systems in production. The position focuses on hands‑on security engineering, including threat modeling, governance implementation, and measurable improvements to security posture across complex AI programs.

Key Responsibilities

• Lead AI security architecture and threat modeling for production agentic deployments across complex, multi‑stakeholder client environments, owning the security design from assessment through hardened deployment for LLM systems, multi‑agent pipelines, RAG architectures, and MLOps infrastructure.
• Perform hands‑on security engineering using agentic coding tools as the primary build environment, including building AI‑powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation with Claude Code, Cursor, or GitHub Copilot.
• Own AI‑specific threat surface management at programme scale using OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams.
• Architect and govern AI security controls across the enterprise stack, covering identity and access for AI systems, data pipeline security, model serving security, and integration risk across AWS, Azure, or GCP.
• Lead implementation of an AI governance framework for production systems, including EU AI Act, NIST AI RMF, and model risk management applied to live environments.
• Shape an AI reinvention security strategy in alignment with client CISO and CTO priorities by developing 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 to scale across client engagements and grow the Secure AI practice.
• Run architecture design sessions, threat modeling workshops, and code‑with sessions with client engineering and security leadership teams.

Required Qualifications

• Minimum 8 years of engineering experience in production environments with cybersecurity discipline depth in at least one area: AppSec, SecOps and/or detection engineering, cloud security, IAM, offensive security and/or penetration testing, or GRC.
• Minimum 1 year of hands‑on experience designing and deploying agentic AI solutions in a production environment (the role requires practical delivery; theoretical familiarity is not sufficient).
• Minimum 6 years demonstrating end‑to‑end security delivery ownership 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, including IAM, network security, secrets management, and AI service security configurations.
• Bachelor’s degree or equivalent with a minimum of 12 years work experience. If an Associate’s Degree is held, minimum 6 years work experience is required.
• Proven ability to communicate security risk in business terms, translating threat exposure into risk‑adjusted investment rationale for a CISO or CFO.
• People leadership experience managing, developing, and performance‑managing a team of engineers, including setting individual development plans and conducting career conversations.

Technologies and Frameworks

• Agentic coding tools: Claude Code, Cursor, GitHub Copilot
• Security and governance: OWASP LLM Top 10, EU AI Act, NIST AI RMF
• Cloud platforms: AWS, Azure, GCP
• AI delivery contexts: LLM systems, multi‑agent pipelines, RAG architectures, MLOps infrastructure

Compensation and Location

Location: Austin, TX (onsite)

Salary range: USD 87,400 - 316,300 per year

Annual salary range varies by state as follows:

• California: $94,400 to $316,300
• Colorado: $94,400 to $273,200
• Connecticut: $94,400 to $273,200
• District of Columbia: $100,500 to $291,000
• Illinois: $87,400 to $273,200
• Maine: $80,400 to $232,800
• Maryland: $94,400 to $273,200
• Massachusetts: $94,400 to $291,000
• Minnesota: $94,400 to $273,200
• New York: $87,400 to $316,300
• New Jersey: $100,500 to $316,300
• Ohio: $87,400 to $253,000
• Virginia: $87,400 to $291,000
• Washington: $100,500 to $291,000

Benefits

• Medical, dental, vision, life, and long‑term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off

Travel Requirements

Travel may be required for this role, ranging from 0 to 100% depending on business need and client requirements.

Accommodation and Equal Employment Opportunity

• Accenture is committed to providing equal employment opportunities, including reasonable accommodations when needed for persons with disabilities or religious observances.
• All employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis protected by federal, state, or local law.

Additional Employment Statements

• Applicants for employment in the US must have work authorization that does not require sponsorship of a visa for employment authorization in the United States now or in the future.
• Candidates currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
• Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.