Director of GenAI- 15+ yrs- Remote (US Only)

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - 6 month(s)
No Travel Required

Skills

Docker
Kubernetes
Python
TensorFlow
GPT
Sagemaker
Claude
Pinecone
AI frameworks (PyTorch
JAX)
large language models (e.g.
Llama)
Retrieval-Augmented Generation (RAG) architectures
vector databases (e.g.
Weaviate
Milvus)
MLOps practices
AWS AI services (Bedrock
GPU/TPU optimization
AI/ML technologies

Job Details

Job description:

Required Experience

15+ years of experience in data science, machine learning, or AI fields

5+ years in leadership roles related to AI governance, strategy, or innovation

Proven track record of establishing AI governance frameworks and standards

Experience collaborating with and influencing distributed AI teams

Strong technical background in modern AI/ML technologies and methodologies

Experience with large language models (LLMs) and generative AI applications

Bachelor's degree in Computer Science, Data Science, or related field

Technical Expertise Requirements

Deep expertise in modern AI frameworks (PyTorch, TensorFlow, JAX) and their enterprise applications

Hands-on experience with large language models (e.g., GPT, Claude, Llama) and prompt engineering

Proficiency in implementing Retrieval-Augmented Generation (RAG) architectures

Experience with vector databases (e.g., Pinecone, Weaviate, Milvus) and embeddings models

Knowledge of MLOps practices and tools for model governance, monitoring, and lifecycle management

Expertise in evaluating and governing foundation models for specific business domains

Experience implementing AI governance tools and frameworks for responsible AI

Understanding of AI infrastructure requirements, including GPU/TPU optimization

Experience with AWS AI services (Bedrock, SageMaker, etc.) or other cloud AI platforms

Knowledge of AI evaluation metrics and techniques for measuring model performance

Experience with multimodal AI systems (text, image, audio) and their applications

Proficiency in Python and related data science libraries (pandas, scikit-learn, etc.)

Understanding of data engineering principles for AI workloads

Experience with containerization and orchestration (Docker, Kubernetes) for AI deployments

Preferred Experience

Experience in healthcare, insurance, or related industries

Knowledge of AWS AI/ML services and infrastructure

Background in building AI Centers of Excellence or similar functions

Experience with responsible AI frameworks and ethical considerations

Advanced degree (MS or PhD) in AI, Machine Learning, or related field

Experience aligning multiple AI teams across business units to a common strategy

Track record of successful AI governance implementation in enterprise environments

Key Competencies

Strategic thinking and business acumen

Technical depth in AI/ML technologies

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