Sr. GenAI Architect

This role seeks an experienced Generative AI (GenAI) Architect to lead the design, development, and implementation of GenAI solutions. The ideal candidate is a thought leader in the GenAI space. They should possess architectural expertise and be passionate about pushing the boundaries of AI integration within enterprise environments.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of experience in AI/ML development and architecture, with a strong focus on GenAI solutions. In-depth understanding of generative AI models (e.g., LLMs like GPT, BERT), deep learning frameworks (e.g., TensorFlow, PyTorch), and related techniques. Proven experience with MCP (Model Context Protocol), including building and configuring MCP servers and integrating them with AI applications. Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) and multi-agent systems is highly desirable. Expertise in cloud platforms (AWS, Azure, GCP) and familiarity with containerization technologies (Docker, Kubernetes). Strong understanding of data structures, algorithms, and software design principles. Excellent communication, leadership, and collaboration skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Experience in designing and implementing RAG (Retrieval Augmented Generation) pipelines is a plus. Familiarity with DevOps/MLOps practices and tools. Desired skills: Experience with specific MCP Gateway deployments (e.g., IBM MCP Gateway), if relevant to the organization’s needs. Knowledge of specific domain expertise (e.g., healthcare, finance, retail) where GenAI applications are particularly impactful. Publications or presentations in the field of GenAI or AI integration