AI Engineering Systems Lead at Jobgether
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Jul 15, 2026
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Jul 21, 2026
What this job asks for AI summary
A technical leadership role focused on building and owning the internal engineering infrastructure that allows both human developers and AI agents to produce reliable, production-ready software. Day-to-day work spans autonomous coding pipelines, root-cause analysis systems, architectural enforcement tooling, CI/CD integrations, and evaluation frameworks that measure AI-generated output against real engineering outcomes. Suited to an engineer with deep systems-thinking experience and hands-on background with AI-assisted development workflows.
Senior level · Remote · Full-time
“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
Roughly 114,000 people nationally plausibly meet what this posting asks for (software developers). range 47,800–171,000
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
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 (8)
The title 'AI Engineering Systems Lead' carries no standard seniority level word, so the title states no level; however, the scope (owning foundational AI engineering infrastructure, cross-team influence, high autonomy) and the depth of requirements clearly support a Senior classification.
SOC classification is Medium-confidence: the role is primarily about building internal developer tooling, autonomous coding pipelines, and AI-driven engineering platforms — squarely software development (15-1252) — but its platform/infrastructure-engineering flavor makes 15-1299 a plausible runner-up.
No specific total years of experience are stated anywhere in the posting.
Java and JavaScript are listed together as examples of acceptable languages ('such as Java, JavaScript, or similar technologies') — they are treated as interchangeable alternatives for a single programming-language requirement rather than two distinct mandated skills.
Compensation is described qualitatively (base salary + annual bonus + LTIP, level based on experience) with no numeric figures provided.
Salesforce and Apex are explicitly called out as 'a plus but not required' — listed as preferred.
Visa sponsorship is not available; candidates must be authorized to work in the United States.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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