Head of AI Engineering
Core
Design, develop, deploy, and optimize production-ready AI applications and intelligent agents using Large Language Models (LLMs) and Generative AI to drive business value and operational efficiency.
Role type
Head of AI Engineering (Senior Leadership, Hands-on IC)
Builds
Scalable AI solutions, intelligent agents, copilots, RAG systems, and multi-agent architectures for enterprise workflows.
Domain
Consumer Health / Generative AI / Enterprise Software
Deliverable
production ML models | product features
Required skills
Large Language Models (LLMs), Generative AI, Agentic AI frameworks, RAG (Retrieval-Augmented Generation), Python, Cloud-native AI services, AI governance, Stakeholder collaboration, Technical leadership
Preferred skills
Master's degree in AI/CS, AI-related certifications, Experience in Financial Services/Healthcare/Retail, AWS Bedrock, Google Vertex AI
Technologies
OpenAI GPT, Anthropic Claude, Microsoft Copilot, Azure OpenAI Service, LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, Hugging Face, PyTorch, TensorFlow, Azure AI Foundry, Azure Machine Learning, Pinecone, Chroma, Weaviate, Qdrant, Azure AI Search, Docker, Kubernetes
Responsibilities
Design and implement multi-agent AI systems for complex business workflows; Develop custom AI integrations using APIs and cloud-native services; Optimize and fine-tune AI solutions for performance and accuracy; Implement AI governance frameworks and monitor model drift; Lead technical strategy and mentor engineering teams.
Seniority
Senior, hands-on IC with leadership responsibilities