Sr Software Developer- AI & Automation Solutions at SAS
Cary HQ, NC
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Jul 26, 2026
Cary HQ, NC
Jul 28, 2026
What this job asks for AI summary
A senior developer role on an internal enablement team within a large software company's R&D organization, focused on building AI and automation capabilities for use by developers and testers across the organization. Day-to-day work involves integrating large language models, designing automation pipelines, and delivering infrastructure solutions — sometimes independently, sometimes leading a small team. Suits someone with deep experience in LLMs, enterprise automation tools, and infrastructure who is comfortable presenting to senior leadership.
Senior level · 8+ years · Remote · Full-time
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Posted 2 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
Roughly 9,700 people nationally plausibly meet what this posting asks for (software developers). range 4,100–14,600
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
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 (7)
The role sits at the intersection of software development and infrastructure/automation — the primary deliverable is building AI-enabled tools and automation capabilities (pointing to Software Developers, 15-1252), but the required qualifications explicitly call for 8+ years in 'infrastructure, automation, or information security' and deep enterprise infrastructure knowledge (routers, switches, storage, etc.), which also fits 15-1244. Medium confidence on SOC; 15-1244 is the runner-up.
The degree requirement states 'Bachelor's degree in computer science or related field' but immediately follows with 'An equivalent combination of related education, training, and experience may be considered in place of the above qualifications' — treated as no hard degree gate.
The 8-year minimum is stated at the role level against 'infrastructure, automation, or information security' — not tied to any single named technology.
Cary, NC is part of the Raleigh-Cary MSA (CBSA 39580); however, SAS Institute's headquarters is in Cary, which is within the broader Research Triangle area. The posting lists Cary, NC as the hybrid location; CBSA 39580 (Raleigh-Cary, NC) is the most precise match — note that CBSA 20500 (Durham-Chapel Hill) was initially selected but Raleigh-Cary (39580) is the correct CBSA for Cary, NC.
AI governance, model utilization optimization, and cost management for LLM usage are called out as required competencies but name no specific tool — captured under the LLMs and AI orchestration skills rather than as separate generic entries.
No compensation figures are provided in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI orchestration.
Read the full posting
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