Accenture is seeking a Cybersecurity Forward Deployed Engineer at the FDE Senior Manager level. This onsite role in Morristown, NJ centers on secure production AI deployments, emphasizing agentic AI security, governance, and threat modeling within client environments. The position offers an annual compensation range of USD 122,700 to 366,300.
Role Overview
The Forward Deployed Engineer will lead the security design and implementation for production agentic AI systems across intricate client landscapes. Responsibilities span from architectural assessment to hardened deployment, with hands-on engineering to build AI powered detection, response, and governance tooling. The role requires collaboration with multiple stakeholders and a focus on translating security into business risk management.
Responsibilities
- Steer AI security architecture and threat modeling for production agentic deployments across complex client environments, including LLM systems, multi‑agent pipelines, RAG architectures, and MLOps infrastructure; own the security design end to end.
- Deliver hands-on security engineering using agentic coding tools as the primary build environment to create 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 program scale, addressing 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, including identity and access for AI systems, data pipeline security, model serving security, and cross‑cloud integration risk on AWS, Azure, or GCP.
- Lead AI governance framework implementation aligned with EU AI Act, NIST AI RMF, and model risk management applied to live production systems.
- Shape AI reinvention security strategy for client CISO and CTO, 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 expand the Secure AI practice.
- Lead architecture design sessions, threat modeling workshops, and code‑with sessions with client engineering and security leadership teams.
- Maintain cybersecurity domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security).
- Contribute to proposal and SOW development, solution shaping, and client commercial engagement.
- Facilitate executive workshops and communicate with C-suite and CISO levels.
- Apply structured analytical thinking and hypothesis driven problem decomposition to engagements.
- Lead teams by developing managers and consultants through delivery, including setting development plans and conducting career conversations.
Requirements
- Minimum of 10 years of engineering experience in production environments with deep cybersecurity expertise in at least one area such as AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC.
- Minimum of 2 years hands-on experience designing and deploying agentic AI solutions in production; theoretical familiarity is not sufficient.
- Minimum of 8 years of end‑to‑end security delivery ownership in a client embedded or production setting; internal advisory or compliance‑only roles do not qualify.
- Minimum of 8 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 work experience (minimum 12 years). If holding an Associate degree, a minimum of 6 years of experience is required.
- Proven ability to communicate security risk in business terms, translating threat exposure into risk‑adjusted investment rationale that CISO or CFO would act on.
- Experience in people leadership, including developing and performance managing a team of engineers, setting individual development plans, and conducting career conversations.
Technologies
- Claude Code
- Cursor
- GitHub Copilot
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan with eligibility for employer contributions
- Bonus opportunities
- Paid holidays and paid time off
Accommodation
Accenture is committed to equal employment opportunities for individuals with disabilities or religious observances and provides reasonable accommodations when needed for performing essential job functions. If accommodation is required, you will participate in the established accommodation process. Accommodations provided during recruiting do not guarantee future accommodations once hired. For consideration with accommodation needs, contact the toll-free number at 1 (877) 889-9009, or reach out via email or through your recruiter.
Equal Employment Opportunity
Accenture prohibits discrimination based on protected characteristics and conducts all employment decisions without regard to age, race, creed, color, religion, sex, national origin, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or other protected factors. Details are outlined in the Accenture Equal Opportunity Statement. Accenture is an equal employment opportunity and affirmative action employer for veterans and individuals with disabilities.
Other Employment Statements
- US applicants must have work authorization that does not require future visa sponsorship.
- Candidates currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
- Applicants are not obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. A criminal history does not automatically bar employment.
- Accenture will not discharge or discriminate against employees who discuss pay or access compensation information as part of their job functions.
