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Florence Healthcare - US

Director of AI

Florence Healthcare - US · Atlanta, GA

Posted about 2 months ago

or apply directly on Florence Healthcare - US's site. We never take the application ourselves.

Is this posting real?

This role has been open
72 days
Florence Healthcare - US's roles stay open a median of 72 days
Reposted
No
Salary listed
No
0% of Florence Healthcare - US's roles list one
Ghost-job risk at Florence Healthcare - US
high
4 stale, 0 reposted of 6 open
Hiring momentum
10 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Florence Healthcare - US's own greenhouse board since 2026-08-03. Full hiring picture for Florence Healthcare - US.

About this role

The Director of AI at Florence will lead the design, development, and delivery of AI-powered capabilities across the company's products. This role involves hands-on technical leadership, guiding architecture, mentoring engineers, and collaborating with various teams to ensure scalable and production-ready AI solutions. The position also emphasizes the development of machine learning pipelines and the establishment of best practices in AI engineering and governance.

Our read on this posting2.6out of 5
benefits
2/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Florence Healthcare - US as an employer.

What you need

  • 8+ years of software engineering experience, including significant experience designing, building, deploying, and operating production AI and machine learning systems
  • 4+ years leading engineering teams in a technical leadership capacity
  • Strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, prompt engineering, and modern AI application architectures
  • Experience building and scaling production AI systems, machine learning pipelines, and MLOps platforms in cloud-native environments
  • Demonstrated ability to evaluate new AI technologies and translate them into practical engineering solutions
  • Strong understanding of production machine learning engineering practices, including model performance monitoring, drift detection, experiment tracking, model versioning, and continuous delivery of ML models

Nice to have

  • Experience with: Amazon Bedrock, AWS SageMaker, AWS AgentCore, Claude, TensorFlow or PyTorch, Feature Stores, ML Pipeline orchestration tools, OpenAI, Gemini, LangGraph, LangChain, MCP (Model Context Protocol), Kafka, Snowflake, Kubernetes, Docker, Python, MLflow, Vector databases (Pinecone, pgvector, OpenSearch), Healthcare or regulated SaaS environments

What you get

  • Competitive compensation package
  • Medical and dental insurance
  • Office space in the heart of the city

Worth weighing

  • No specific salary information provided
  • Role includes a mix of technical leadership and hands-on engineering work
  • Focus on AI and machine learning technologies may limit exposure to other areas of software development

Summarised from Florence Healthcare - US's posting. Read the full original.

Listed by Florence Healthcare - US on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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