Senior AI Security Engineer & FDE Leader

Accenture

Hartford (CT)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

Accenture Security is seeking a Cybersecurity Forward Deployed Engineer who embeds with client teams to secure production AI systems, govern risk, and drive measurable improvements.

You will own security design from assessment to hardened deployment, using agentic coding tools, and collaborating with security and engineering leaders. Travel up to 0-100% depending on client needs and engagements.

Qualifications

  • Minimum 10 years of engineering experience in production environments with a cybersecurity discipline depth in at least one area.
  • Minimum 2 years hands‑on experience designing and deploying agentic AI solutions in a production environment—non‑negotiable; theoretical familiarity does not qualify
  • Minimum 8 years of demonstrated end‑to‑end security delivery ownership experience in a client‑embedded or production environment; internal advisory or compliance‑only roles do not qualify
  • Minimum 8 years working with Cloud platform security fundamentals across at least one provider (AWS, Azure, or GCP)
  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Responsibilities

  • Lead 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
  • Own 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)
  • Lead 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
  • Lead architecture design sessions, threat modeling workshops, and code‑with sessions with client engineering and security leadership teams
  • Cybersecurity domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security)
  • Proposal and SOW development, solution shaping, and client commercial engagement
  • Executive workshop facilitation and C‑suite / CISO‑level communication
  • Structured analytical thinking and hypothesis‑driven problem decomposition
  • Team leadership: developing and coaching managers and consultants through delivery

Skills

AI security
Threat modeling
Security architecture
Agentic coding
Cloud security
GRC/compliance
Team leadership
Executive communication
CISO liaison

Education

Bachelor's degree or equivalent

Tools

Claude Code
Cursor
GitHub Copilot

Job description

Accenture Security is seeking a Cybersecurity Forward Deployed Engineer who embeds with client teams to secure production AI systems, govern risk, and drive measurable improvements.

You will own security design from assessment to hardened deployment, using agentic coding tools, and collaborating with security and engineering leaders. Travel up to 0-100% depending on client needs and engagements.

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