Director, AI Platform and Development Engineering at Wetherill Associates Inc
Miramar, FL
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Jul 1, 2026
Miramar, FL
Jul 21, 2026
What this job asks for AI summary
A senior technical leadership role focused on building and governing an enterprise AI platform for a global aftermarket distributor. The position owns the full stack: a centralized data lake fed by ERP and other business systems, ML and LLM workflows, RAG and vector search pipelines, dashboards, and production model serving. It suits an experienced data/AI platform engineer comfortable directing offshore teams and translating business priorities into governed, scalable architecture.
Senior level · 10+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
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 85 people nationally plausibly meet what this posting asks for (database architects). range 25–130
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.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
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 (9)
The role title is 'Director, AI Platform Engineer' but the JD describes a deeply hands-on individual-contributor architect/engineer role — building data lakes, ML/LLM pipelines, RAG systems, and dashboards — with offshore team direction rather than a true people-management org. It is classified as Senior IC rather than a management SOC (11-3021).
The primary SOC is 15-1243 (Database Architects) given the central emphasis on designing and governing a data lake/lakehouse and unified data architecture; 15-2051 (Data Scientists) is a close runner-up given the ML/LLM/RAG modeling scope.
Cloud platform experience (Azure, AWS, or GCP) is listed in the Skills section under a required-skills block ('Advanced knowledge of…' and 'Experience with cloud platforms such as Azure, AWS, or GCP'); model serving, GPUs, containerization, MLOps, and observability are explicitly called 'preferred' in the same sentence, so those are marked preferred.
LangChain/LangGraph, OpenAI APIs, Azure AI, Microsoft Copilot, and open-source models (Llama, Mistral, Qwen) are explicitly listed under a 'preferred' qualifier ('Familiarity with… preferred').
RPA and process mining appear in the 'What You'll Do' responsibilities section rather than in a hard-requirements block; they are marked preferred accordingly.
The degree requirement states 'Bachelor's degree … required' with 'Master's degree preferred; equivalent senior technical experience may be considered.' Because the JD explicitly says the bachelor's is required (with only the master's as preferred and experience as a possible substitute for the master's, not the bachelor's), Bachelors is set as the minimum hard requirement.
No compensation figures are provided in the posting.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data lake/lakehouse architecture, AI orchestration.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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