Accenture is seeking a Cybersecurity Forward Deployed Engineer to embed with client teams in Des Moines, IA, onsite. You will design, secure, and govern AI deployments using agentic coding, owning outcomes across production deployments, threat modeling, governance, and tooling. The role carries a salary range of USD 87,400 to 305,000 per year and requires a bachelor’s degree.
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, owning the full security design from assessment through hardened deployment
- Provide hands-on security engineering using agentic coding tools as the primary build environment: develop 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: implement 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: 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
- 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
Requirements
- Minimum of 8 years of engineering experience in production environments with a cybersecurity discipline 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
- Minimum 6 years of demonstrated end-to-end security delivery ownership experience in a client-embedded or production environment
- 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) of work experience. If holding an Associate’s Degree, a minimum of 6 years of work experience is required
Technologies
- Claude Code
- Cursor
- GitHub Copilot
- AWS
- Azure
- GCP
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
Professional Skills Requirements
- Proven ability to communicate security risk in business terms, translating threat exposure into risk-adjusted investment rationale that a CISO or CFO would act on
- People leadership responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations
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