GenAI Architect/ Director

Position : GenAI Architect/ Director (AWS AI services)

Location: San Diego, CA / Remote

Job Type: Contract

Required Skills :

• AWS AI services (Bedrock, SageMaker, etc.)
• Modern AI frameworks (PyTorch, TensorFlow, JAX)
• LLM(GPT, Claude, Llama)
• Retrieval-Augmented Generation (RAG)
• MLOps practices
• Multimodal AI systems (text, image, audio)

Job Description

• 10+ 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

Best Regards,