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Accenture is hiring Cybersecurity AI Forward Deployed Engineers who secure production agentic systems inside client enterprises

Accenture Security has live Consultant, Manager, and Senior Manager Cybersecurity AI FDE roles that embed in client orgs to harden LLM, RAG, and multi-agent deployments, with agentic coding tools as the primary delivery method and pay bands up to about $316K.

Accenture is staffing a specialized Cybersecurity AI Forward Deployed Engineer ladder—Consultant, Manager, and Senior Manager—inside Accenture Security. The postings draw a hard line against advisory work: this is a production engineer embedded with the client's security and engineering teams to make AI systems secure, governed, and resilient in live environments.

FDEs sit in Reinvention Delivery Engine (RDE) pods on 90-day cycles and own end-to-end outcomes. Day-to-day work includes AI security architecture and threat modeling for LLM systems, multi-agent pipelines, RAG, and MLOps; OWASP LLM Top 10 and prompt-injection hardening; identity and data-pipeline controls across AWS, Azure, or GCP; and applying EU AI Act and NIST AI RMF to production systems. The Manager posting states that agentic coding tools—Claude Code, Cursor, or GitHub Copilot—are the primary method of delivery, not optional accelerators.

For the FDE market, this is Accenture extending the title beyond Gemini and cloud implementation into Secure AI delivery at CISO/CTO altitude. Manager US salary bands run roughly $80,400–$316,300 depending on location; Manager requirements include 8+ years of production cybersecurity engineering, 1+ year deploying agentic AI in production, and people-lead experience. Travel can be 0–100% by client need.

Source: www.accenture.com