Gen Ai Architect

Gen Ai Architect to join our team in Charlotte, NC (Need Onsite day 1,hybrid 3 days from office)
W2 Pay Rate: $55/hr
 
Job description:
We are seeking a highly skilled and innovative AI Architect to lead the design and implementation of cutting-edge AI and ML solutions. In this role, the candidate will define the strategy and roadmap for our AI initiatives, spanning traditional machine learning and Generative AI (GenAI) use cases. The candidate will collaborate with cross-functional teams to translate business needs into scalable, ethical, and effective AI-driven solutions.
 
The Role
Responsibilities:

• Define and drive the AI/ML architecture and strategic roadmap, emphasizing Generative AI and innovative use cases.
• Design comprehensive end-to-end AI solutions, including data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
• Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks utilizing tools such as LangChain, LangGraph, or similar.
• Collaborate with stakeholders across business units to convert requirements into robust AI technical solutions.
• Evaluate, select, and recommend appropriate AI/ML tools, cloud services, frameworks, and libraries tailored to specific project needs.
• Ensure model governance, security, explainability, and compliance with ethical standards and regulatory requirements.
• Guide engineering teams in implementing AI components that are scalable, reliable, and high-performing.
• Work closely with DevOps to establish CI/CD pipelines for AI models, including model versioning, A/B testing, and deployment strategies.
• Stay informed about industry trends, academic research, and emerging technologies in AI, and advocate for best practices.

 
Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; Ph.D. is a plus.
• Extensive experience in designing and deploying AI/ML solutions at scale.
• Strong expertise in deep learning, natural language processing (NLP), and Generative AI applications.
• Hands-on experience with LLMs, RAG frameworks, and relevant tools like LangChain, LangGraph, or equivalents.
• In-depth understanding of data pipelines, feature engineering, and model lifecycle management.
• Experience with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization/orchestration (Docker, Kubernetes).
• Knowledge of AI model governance, security, privacy, and ethical AI practices.
• Proven ability to lead technical teams and communicate complex AI concepts effectively.
• Strong analytical, problem-solving, and project management skills.

 
Preferred, but not required:

• Publications or contributions in AI/ML research or industry.
• Experience with CI/CD practices for ML workflows.
• Familiarity with responsible AI standards and frameworks.