Generative AI Gen AI Architect with Banking Charlotte, NC NYC, NY Contract opportunity-c2c

Role: Generative AI Architect with Baking exp.

Responsibilities:

• Define and drive the AI/ML architecture and roadmap including both traditional machine learning and Generative AI (GenAI) use cases.
• Design comprehensive end-to-end AI solutions covering 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.
• Develop and deliver cutting-edge AI/ML solutions incorporating genetic AI techniques innovative design principles and scalable deployment strategies.
• Gain a good understanding of traditional AI/ML approaches and leverage this knowledge to create robust hybrid solutions.
• Collaborate with business stakeholders to translate requirements into scalable AI-driven technical solutions.
• Evaluate and select appropriate AI/ML tools cloud services frameworks and libraries based on use case needs and industry best practices.
• Ensure models adhere to governance security explainability and regulatory compliance embedding ethical AI principles into system design.
• Guide engineering teams in the implementation of AI components emphasizing scalability reliability and performance optimization.
• Partner with DevOps teams to establish CI/CD pipelines for AI including model versioning deployment automation and ongoing A/B testing.
• Keep abreast of the latest industry research breakthroughs and emerging trends in AI including tracing frameworks LLM observability and other innovative areas recommending adoption of best practices and solutions.

Requirements:

• Proven experience 10 years excel in leading AI/ML architecture and strategy in enterprise environments.
• Strong expertise in designing and deploying large-scale AI/ML solutions including LLMs RAG frameworks and genetic AI techniques.
• Experience with AI/ML tools and frameworks such as TensorFlow PyTorch Hugging Face LangChain LangGraph or similar.
• Agentic AI experience: design develop and deliver tracing frameworks and LLM observability solutions.
• Deep understanding of data workflows feature engineering model training evaluation and deployment.
• Good understanding of traditional AI/ML concepts alongside expertise in generative AI and related frameworks.
• Hands-on experience with AI/ML model observability tracing frameworks and monitoring solutions.
• Knowledge of cloud platforms (AWS Azure GCP) and services tailored for AI deployment.
• Familiarity with model governance security explainability and ethical AI standards.
• Experience in developing CI/CD pipelines for AI/ML including model versioning monitoring and performance tuning.
• Strong problem-solving communication and stakeholder management skills.

Preferred but not required:

• Advanced degree (Ph.D. Masters) in Computer Science Data Science AI or related fields.
• Publications or practical contributions to AI research and open-source projects.
• Experience working in regulated industries or environments requiring compliance and governance.
• Familiarity with project management and Agile practices.