AI​/Generative AI Engineer

Location

Alpharetta, GA or New York, NY

(Hybrid / Onsite — as per client requirement)

Mandatory skills = Cortex AI, Python & Snowflake

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.

• 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 Sage Maker, Azure AI, or Google Cloud Platform Vertex AI) for training and inference
• Collaborate with data engineering, platform, and product teams to product ionize AI solutions
• Ensure performance, scalability, security, and governance of AI systems
• Mentor junior engineers and contribute to AI architecture and best practices

• 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

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

• AWS Sage Maker
• Azure AI / Azure OpenAI
• Google Cloud Platform Vertex AI

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

• 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

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