AI Security Engineer - Forward Deployed in Production

Accenture; St. Louis (MO); On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision, life

401(k) plan

Bonus opportunities

Paid holidays and PTO

Job summary

Accenture Security seeks a Cybersecurity Forward Deployed Engineer to embed with client teams, building secure, governed AI deployments. You’ll own outcomes, craft threat models, and deliver tooling using Claude Code, Cursor, or GitHub Copilot. The role blends security architecture with hands-on engineering in complex AI environments.

Travel may be required; production-ready AI security is your focus—from design to implementation—across cloud platforms and enterprise stacks.

Qualifications

• Minimum of 3 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 production environments
• Minimum 3 years working with Cloud platform security fundamentals across at least one provider (AWS, Azure, or GCP)

Responsibilities

• Support AI security architecture and threat modeling for production agentic deployments across complex multi-stakeholder client environments—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
• Support 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)
• Assist with 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
• Contribute and support architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams

Skills

Engineering

Cybersecurity

Cloud security

IAM

GRC

Education

Bachelor's degree

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture Security seeks a Cybersecurity Forward Deployed Engineer to embed with client teams, building secure, governed AI deployments. You’ll own outcomes, craft threat models, and deliver tooling using Claude Code, Cursor, or GitHub Copilot. The role blends security architecture with hands-on engineering in complex AI environments.

Travel may be required; production-ready AI security is your focus—from design to implementation—across cloud platforms and enterprise stacks.