AI/ML Lead

Job Title: AI/ML Lead Charlotte, NC Onsite Job Description: We are seeking an experienced AI/ML Lead to drive enterprise AI initiatives with a focus on both traditional Machine Learning and Generative AI solutions. The ideal candidate will have strong hands‑on experience in designing scalable AI systems, leading technical teams, and delivering AI‑driven business solutions. Experience in investment banking or financial services environments is highly preferred. Responsibilities: Lead the design, development, and deployment of AI/ML solutions across enterprise platforms. Define AI/ML strategy and roadmap, including predictive analytics, NLP, and Generative AI use cases. Architect end-to-end AI pipelines including data ingestion, feature engineering, model training, deployment, and monitoring. Lead implementation of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) solutions using LangChain, LangGraph, or similar frameworks. Collaborate with business stakeholders to gather requirements and translate them into scalable AI solutions. Mentor and guide AI/ML engineers, data scientists, and cross‑functional teams. Ensure AI systems meet governance, security, explainability, and compliance standards. Work with DevOps teams to establish MLOps practices including CI/CD pipelines, model versioning, automated deployment, and monitoring. Optimize model performance, scalability, and reliability in production environments. Stay updated on emerging AI/ML trends, tools, and innovations, driving adoption where beneficial. Requirements: 10+ years of IT experience with strong expertise in AI/ML solution delivery and leadership roles. Proven experience leading enterprise AI/ML teams and large‑scale implementations. Hands‑on experience with Machine Learning frameworks such as TensorFlow, PyTorch, Scikit‑learn, Hugging Face, or similar. Strong experience with Generative AI, LLMs, prompt engineering, and RAG architectures. Expertise in Python and AI/ML development best practices. Strong understanding of data engineering, feature engineering, model lifecycle management, and MLOps. Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads. Knowledge of model governance, security, explainability, and ethical AI frameworks. Excellent leadership, communication, and stakeholder management skills. Preferred Qualifications: Experience in investment banking or financial services domain. Master’s or PhD in Computer Science, AI, Data Science, or related field. Experience with Agile/Scrum delivery models. Contributions to AI research, open‑source, or industry publications. #J-18808-Ljbffr