RTX · mckinney, TX

Salary
$157,200–$298,800from the description
Posted
Jul 14, 2026
Location
mckinney, TX
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

Senior level · 12+ years · Dallas-Fort Worth-Arlington, TX · Bachelor's required · TS/SCI clearance · Full-time

Must have (7)
AI/ML deploymentLLMsMLOpsDevSecOpsAWS, Azure or GCPPythonmachine learning frameworks
Nice to have (2)
embedded AIAI assurance

“or” means any one of them counts — you don't need all of them.

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

What gives you an edge
MLOps8%machine learning frameworks12%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python51%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $136,221 (middle half $107,984–$167,709). 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 (8)

The title 'Associate Director – AI Software Security Engineer' is a management-flavored title, but the JD emphasizes hands-on development, building pipelines, and deploying models rather than people management or budget ownership. Classified as Software Developers (15-1252) with Computer and Information Systems Managers (11-3021) as the runner-up given the ambiguity.

The JD lists multiple locations: McKinney, TX (primary address in the posting), Tucson, AZ, and Tewksbury, MA. The CBSA reflects the primary listed address (McKinney, TX → Dallas-Fort Worth-Arlington metro).

The degree requirement states 'STEM degree' — mapped to Bachelors as the minimum implied level; no explicit degree level is stated, but 12 years of experience alongside a degree requirement is standard for this type of role.

AWS, Azure, and GCP are all explicitly listed together as required ('Hands-on experience across Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP)') — emitted as separate required skills since all three are demanded simultaneously, not as alternatives. Alternatives are populated to reflect that any one cloud platform could substitute in a different context, but the JD requires all three.

The TS/SCI clearance is listed under required qualifications as something to 'obtain and maintain after day 1,' but the preferred section also lists an 'Active' clearance as a preference — meaning an active clearance is preferred but the hard gate is the ability to obtain one.

'Machine learning frameworks' is kept as a skill because the JD says 'modern machine learning frameworks' without naming a specific one (e.g., PyTorch, TensorFlow); no canonical single tool can be substituted.

The salary range ($157,200–$298,800/year) is stated as covering 'all experience levels' — the wide band reflects the seniority ambiguity in the role.

Requires a TS/SCI clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.

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