AI Architect
Core
Designing and implementing advanced AI/ML/GenAI solutions that align with business objectives, bridging the gap between business needs and technical capabilities.
Role type
Senior AI Architect
Builds
Scalable, secure, and efficient AI systems including reusable AI/GenAI capabilities, MCP servers, RAG frameworks, and Agentic Frameworks.
Domain
Insurance/Financial Services, Artificial Intelligence, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Natural Language Processing (NLP), LLMs, Agentic flows, Prompt engineering, Python, Data engineering, Cloud platforms (AWS, Azure, GCP), MLOps, LLMOps, Model deployment, Scalable AI systems
Preferred skills
TensorFlow, PyTorch, MLFlow 3.0, Databricks DE and AI/ML stack, Experience in Insurance/financial institutions
Technologies
LangChain, LangGraph, MCP servers, RAG framework, Agentic Framework, A2A protocols, A2M protocol, Model as API's, TensorFlow, PyTorch, MLFlow 3.0, Databricks
Responsibilities
Develop and maintain AI/ML/GenAI architecture aligned with organizational goals, Identify opportunities for AI adoption and create strategic plans, Design and implement AI and machine learning models to solve complex business problems, Select appropriate AI frameworks, tools, and technologies, Develop reusable AI and GenAI capabilities and infrastructure, Collaborate with data scientists, engineers, and business stakeholders to integrate AI into products, Establish best practices for AI model development, deployment, and maintenance, Monitor AI system performance and optimize platform scalability, Conduct experiments, validate models, and improve existing AI solutions, Provide technical leadership and mentorship to team members
Seniority
Senior, hands-on IC with strategic planning