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

XPath Solutions LLC

Open Positions (1)

Engineering

AI / Generative AI Engineer