Cybersecurity Forward Deployed Engineer - FDE - Consultant
Accenture · Columbus, OH
$54,400–$235,100from the description
Jun 29, 2026
Columbus, OH
Jul 21, 2026
What this job asks for AI summary
A hands-on security engineering role embedded within client organizations, focused on securing AI systems in production — including agentic pipelines, LLM deployments, and RAG architectures. Day-to-day work involves building detection systems, threat models, and governance tooling using AI-assisted coding as the primary delivery method. Suited to engineers with production cybersecurity experience who already work fluently with agentic coding tools.
Mid level · 3+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $132,021 (middle half $99,961–$167,095). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (10)
The role is titled 'Cybersecurity Forward Deployed Engineer' with no seniority level in the title; the title states no level. The minimum experience gate is 3 years of engineering experience, which supports a Mid-level classification despite the breadth of responsibilities.
The SOC is a genuine toss-up: the role is framed as a security discipline (threat modeling, AI security architecture, detection engineering, governance) but the primary delivery method is hands-on engineering with agentic coding tools. 15-1212 (Information Security Analysts) was chosen as primary because security architecture, threat surface management, and governance are the stated outcomes; 15-1252 (Software Developers) is a strong runner-up given the emphasis on building tooling and detection systems via agentic coding.
The 1-year agentic AI production experience requirement is explicitly called 'non-negotiable' in the JD, making it a hard gate despite being a relatively new skill category.
Cloud platform security (AWS, Azure, or GCP) is required for 3 years; AWS is listed as the primary name with Azure and GCP as stated alternatives.
Claude Code, Cursor, and GitHub Copilot are presented as interchangeable agentic coding environments — one skill with alternatives.
The compensation range shown spans multiple states (California $70,350–$235,100 through Washington $80,200–$216,300). The figures reported here reflect the overall floor ($54,400, Maine) and ceiling ($235,100, California/New York/New Jersey) across all listed states. The actual range for any given location will be narrower.
Travel requirement is 0–100% depending on client need; the role is client-embedded (not remote) but no single office location is specified.
A Bachelor's degree is listed but the JD explicitly accepts 'equivalent (minimum 12 years) work experience' or an Associate's with 6 years, so the degree requirement is set to None.
LLM security, OWASP LLM Top 10, RAG architectures, MLOps, threat modeling, AppSec, NIST AI RMF, and EU AI Act appear in the responsibilities/key duties section rather than the explicit 'Here's what you need' requirements block, so they are marked as preferred.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): secrets management, OWASP LLM Top 10.
Read the full posting
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