Director of AI at Florence Healthcare - US
Atlanta, GA
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Aug 9, 2026
Atlanta, GA
Nov 9, 2026
What this job asks for AI summary
This Director of AI role at Florence leads the technical architecture, engineering delivery, and team development of AI-powered capabilities across the company's product suite. The position is a hybrid of hands-on technical leadership and people management — owning the AI platform (LLM orchestration, RAG pipelines, MLOps, agentic frameworks) while directly managing a team of AI and ML engineers. It suits a senior engineer-leader who can both set architectural direction and remain close to implementation.
Senior level · 8+ years · Remote
Advertised as Principal, but the requirements read as Senior.
“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 1,650 people nationally plausibly meet what this posting asks for (computer and information systems managers). range 340–2,450
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 $178,991 (middle half $141,096–$225,584).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 13, 2026. It is a model, not a headcount.
Why we read it this way (7)
No work location or CBSA is specified in the posting; the role may be remote or the location was omitted.
The title is 'Director of AI,' which implies org-wide authority (Principal-advertised), but the actual requirements — 8+ years engineering experience, 4+ years leading teams, hands-on technical scope — are consistent with a Senior-level people-manager rather than a true Principal/Fellow individual contributor.
SOC 11-3021 (Computer and Information Systems Managers) was chosen because the role explicitly includes direct reports, team growth, and people leadership. However, the posting heavily emphasizes hands-on technical work (prototyping, architecture reviews, coding), making 15-2051 (Data Scientists) a plausible runner-up given the ML/AI engineering depth.
All preferred technologies (Amazon Bedrock, SageMaker, TensorFlow/PyTorch, LangChain, LangGraph, Kafka, Snowflake, Kubernetes, Docker, Python, MLflow, Pinecone/pgvector/OpenSearch, Claude, OpenAI, Gemini, AWS AgentCore, MCP, feature stores) appear exclusively under the 'We'll Be Extra Excited If You Have' section and are treated as preferred.
TensorFlow and PyTorch are listed as alternatives to each other ('TensorFlow or PyTorch') in the posting.
Pinecone, pgvector, and OpenSearch are listed as interchangeable vector database options; Pinecone is used as the primary name with the others as alternatives.
No compensation range is stated in the posting.
Read the full posting
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