Embedded AI Security Engineer (Production-Ready)

Accenture; Philadelphia (Philadelphia County); On-site; USD 120,000 - 260,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

Long-term Disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Cybersecurity Forward Deployed Engineer to embed with a client’s security and engineering teams, delivering secure, governed AI deployments and measurable security improvements. You will use AI-assisted tooling to build detection systems, threat models, and governance frameworks.

You will lead security ownership across end-to-end AI deployments, collaborating with client teams and leveraging Claude Code, Cursor, and GitHub Copilot in daily delivery.

Qualifications

• Minimum 8 years of engineering experience with a cybersecurity depth in at least one area: AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC.
• Minimum 1 year hands-on experience designing and deploying agentic AI solutions in a production environment—non-negotiable; theoretical familiarity does not qualify
• 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 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

• 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

Skills

Security risk communication

People leadership

Education

Bachelor's degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture is seeking a Cybersecurity Forward Deployed Engineer to embed with a client’s security and engineering teams, delivering secure, governed AI deployments and measurable security improvements. You will use AI-assisted tooling to build detection systems, threat models, and governance frameworks.

You will lead security ownership across end-to-end AI deployments, collaborating with client teams and leveraging Claude Code, Cursor, and GitHub Copilot in daily delivery.