This role is a Cybersecurity Forward Deployed Engineer Manager embedded in client environments to help make AI systems secure, governed, and resilient in production. You will deliver hands-on security engineering across agentic deployments, with accountability for outcomes such as reduced attack surface and measurable improvements to security posture.
Location
Austin, TX (onsite)
Salary
USD 87,400 - 316,300 per yearly
Role Responsibilities
- Lead 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; own security design end-to-end from assessment through hardened deployment.
- Deliver 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 program scale, applying OWASP LLM Top 10 controls and implementing defenses for 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 multi-system integration risk across AWS, Azure, or GCP.
- Lead implementation of an AI governance framework aligned to live production systems, including EU AI Act, NIST AI RMF, and model risk management, rather than theoretical compliance activities.
- Support AI reinvention security strategy for client CISO and CTO by developing risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models tied to commercial outcomes.
- Define and publish reusable security patterns, playbooks, and accelerators to scale across 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.
Required Qualifications
- Minimum 8 years of engineering experience in production environments, with cybersecurity 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; theoretical familiarity is not sufficient.
- Minimum 6 years of end-to-end security delivery ownership experience 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 on at least one provider (AWS, Azure, or GCP), including 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.
- 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
- Claude Code, Cursor, GitHub Copilot
- OWASP LLM Top 10
- EU AI Act, NIST AI RMF
- AWS, Azure, GCP
- LLM systems, multi-agent pipelines, RAG architectures, MLOps infrastructure
Travel
Travel may be required for this role. The amount of travel will vary from 0 to 100% based on business need and client requirements.
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
Compensation by Location
Role Location Annual Salary Range: 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.
Equal Employment Opportunity
All employment decisions shall be 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 as protected by federal, state, or local law.
Other Employment Statements
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
- Candidates who are 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.
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired and require accommodation to perform the essential functions of the role, you will be asked to participate in a reasonable accommodation process.
