AI / Generative AI Engineer

Location

Charlotte NC(Hybrid / Onsite – as per client requirement)

Mandatory skills = Cortex AI, Python & Snowflake

Mandatory Inperson Interview

Job Overview

We are seeking a Senior AI / Generative AI Engineer with deep expertise in Cortex AI, Python, and Snowflake, and hands-on experience building enterprise-grade ML, Generative AI, and Agentic AI systems.

This role focuses on designing, building, and deploying scalable AI solutions, including LLM-powered applications, RAG pipelines, and agent-based workflows, integrated with modern cloud ML platforms.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions using Python, Cortex AI, and Snowflake
• Build and operationalize LLM-based applications, including RAG pipelines and Agentic AI workflows
• Develop scalable ML and GenAI services exposed via FastAPI / REST APIs
• Integrate Snowflake Cortex AI capabilities for analytics-driven AI use cases
• Implement model development, evaluation, deployment, and monitoring best practices
• Work with cloud ML platforms (AWS SageMaker, Azure AI, or Google Cloud Platform Vertex AI) for training and inference
• Collaborate with data engineering, platform, and product teams to productionize AI solutions
• Ensure performance, scalability, security, and governance of AI systems
• Mentor junior engineers and contribute to AI architecture and best practices

Mandatory Technical Skills

• Cortex AI
• Python (advanced)
• Snowflake
• Machine Learning & Deep Learning fundamentals
• Generative AI & LLMs
• Agentic AI concepts and implementations
• FastAPI & REST API development
• Model Context Protocol (MCP) or similar AI integration patterns
• Data processing and feature engineering

Generative AI & Frameworks

• LangChain
• LangGraph
• RAG (Retrieval-Augmented Generation) architectures
• Prompt engineering and LLM orchestration
• Experience with vector databases and embeddings (preferred)

Cloud & MLOps (Required – at least one)

• AWS SageMaker
• Azure AI / Azure OpenAI
• Google Cloud Platform Vertex AI

Additional experience with CI/CD, containerization, or ML pipelines is a plus.

Experience Requirements

• Minimum 7+ years of experience in AI / Machine Learning
• At least 2+ years of hands-on Generative AI experience
• Minimum 5+ years of strong, core experience in:
• • Cortex AI
  • Python
  • Snowflake

Nice to Have

• Experience building scalable, production AI systems
• Exposure to enterprise data platforms and governance
• Knowledge of LLMOps / MLOps practices
• Strong communication and stakeholder-collaboration skills