AIML Lead

Job Title: AI/ML Lead
Charlotte NC Onsite

Job Description:

We are seeking an experiencedAI/ML Leadto 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:

12 Years Needed

• 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.
• Masters 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.

Required Skills:

Artificial Intelligence