Lead AI Engineer

We're needing a Lead AI Engineer who has experience with architecture and design, working w/ multiple engineering teams to design solutions to develop frameworks across a portfolio. CANDIDATES MUST HAVE LEAD EXPERIENCE ON RESUEM AND SPEAK TO LEAD CAPABILITIES. THEY HAVE RESOURCES ON THE TEAM BUT THEY NEED A TRUE LEAD Cloud: GCP, Azure AI: Must know how to build custom models, how to implement and define those models. Building data pipelines, etc. Heavy Data Analytics background (python). GenAI: AgenticAI Healthcare background is a plus. HC + retail would be a huge plus. Must have Lead experience mentoring other team members and include on resume how many team members they lead in each project - also include if offshore and offshore 100% remote osition Overview: We are seeking a highly skilled and experienced Senior Lead AI Developer to join our dynamic team. The ideal candidate will be an expert in AI technologies, with a strong background in full stack Python development, GenAI application design, and document processing pipelines. You will lead and manage development tasks, coordinate with cross-functional teams, and drive the successful delivery of cutting-edge AI solutions in a production environment. Key Responsibilities: • Lead the design, development, and testing of full stack (frontend, backend, API) Python applications. • Design and implement GenAI applications using Retrieval-Augmented Generation (RAG) in production settings. • Build and optimize document ingestion pipelines and document processing workflows utilizing vector databases (e.g., MongoDB Atlas). • Manage and coordinate development tasks, collaborating with internal and external teams to ensure project success. • Oversee the full software development lifecycle, delivering high-quality solutions with minimal supervision. • Design and develop AI/ML models for data analytics, prediction, and forecasting. • Deploy and maintain AI applications on cloud platforms such as Azure and Google Cloud Platform (GCP). • Integrate and leverage AgenticAI and MCP technologies in AI solutions. • Communicate effectively with technical and non-technical stakeholders, providing clear updates and documentation. Required Qualifications: • Proven expertise in AI technologies and frameworks. • Extensive experience in full stack Python development (frontend, backend, API). • Demonstrated success in designing and deploying GenAI applications using RAG architecture in production and hands-on experience building document ingestion pipelines with vector databases (MongoDB Atlas preferred). • Strong leadership skills with experience managing development tasks and coordinating teams. • Excellent verbal and written communication skills. • Ability to lead projects independently with minimal supervision. • Solid background in data analytics, prediction, and forecasting using AI/ML models. • Experience deploying AI applications to cloud platforms (Azure, GCP). • Familiarity with AgenticAI and MCP technologies. .