Location
DALLAS, Texas
(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 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:
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
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