Senior AI/Generative AI Engineer; NY or GA
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-02-16
Listing for:
XPath Solutions
Full Time
position Listed on 2026-02-16
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Job Description & How to Apply Below
Location: New York
Senior AI / Generative AI Engineer (NY or GA)
New York, United States | Posted on 12/26/2025
(Hybrid / Onsite – as per client requirement)
Mandatory skills = Cortex AI, Python & Snowflake
Job 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, 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 GCP 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
- Generative AI & LLMs
- Agentic AI concepts and implementations
- 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 embedding (preferred)
- AWS Sage Maker
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
- Experience building scalable, production AI systems
- Exposure to enterprise data platforms and governance
- Knowledge of LLMOps / MLOps practices
- Strong communication and stakeholder‑collaboration skills
Position Requirements
10+ Years
work experience
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