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:
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
Required Skills:
AI / ML Engineer (NY or GA)
Required Education:
Bachelors degree or higher in Computer Science Data Science Engineering or a related technical field (required)Minimum 5 years of overall IT experienceMinimum 4 years of hands-on experience in AI/ML model development training and deploymentStrong analytical and problem-solving skillsExcellent communication documentation and teamwork abilities
LocationAlpharetta GA or New York NY(Hybrid / Onsite as per client requirement)Mandatory skills Cortex AI Python & SnowflakeJob OverviewWe 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 Gen...
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:
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
Required Skills:
AI / ML Engineer (NY or GA)
Required Education:
Bachelors degree or higher in Computer Science Data Science Engineering or a related technical field (required)Minimum 5 years of overall IT experienceMinimum 4 years of hands-on experience in AI/ML model development training and deploymentStrong analytical and problem-solving skillsExcellent communication documentation and teamwork abilities
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