East New York, New York, United States
Job Description
Job Description
Location
Alpharetta, GA or New York, NY
(Hybrid / Onsite – as per client requirement)
Mandatory skills = Cortex AI, Python & Snowflake
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 GCP 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 embedding (preferred)
Cloud & MLOps (Required – at least one)
AWS SageMaker
Azure AI / Azure OpenAI
GCP Vertex AI
Additional experience with CI/CD, containerization, or ML pipelines is a plus.
Requirements
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
Benefits