Lead Cortex AI Engineer

Hybrid

Lead cutting-edge AI development as a Lead Cortex AI Engineer using Snowflake Cortex, LLMs, agentic workflows, and scalable data-centric applications.

Job Description

Qualifications
  • Bachelor of Computer Science
Important: Snowflake AI Data Cloud, Cortex AI, Cortex Analyst, Cortex Search, Cortex AI SQL, Snowpark, LLM, Agentic Apps

Must Have Technical/Functional Skills
  • 7+ Hands-on experience on Snowflake AI Data Cloud.
  • 3+ years of proven experience with building LLM-powered applications including agentic workflows with measurable impacts.
  • Strong hands-on experience with Cortex AI services: Analyst, Search, AI SQL, Vector Embedding etc.
  • Experience in developing scalable data-centric applications using Snowpark containers in Python.
  • Hands-on experience in creating conversational agentic apps using natural language prompts in Snowflake Intelligence.
  • 5+ years of experience in SQL & Python programming.
  • Knowledge of Snowflake hosted LLM model garden (Claude, Llama, OpenAI, Mistral, Arctic etc.) will be a plus.
  • Familiarity with LLM model evaluation methodologies.
  • Working experience in Snowflake managed / custom MCP servers.
  • Strong experience working with GIT and CI/CD pipelines.
  • Strong working experience in Agile-based product development processes.
  • Good written and verbal communication skills.
  • Analytical and problem-solving skills.
Roles & Responsibilities
  • Design and implement LLM-powered apps in Snowflake using its Cortex AI capabilities.
  • Build Cortex Analyst solutions on SQL-based semantic models / views through natural language prompts.
  • Implement RAG workflows using Cortex Search over unstructured documents and texts.
  • Design AISQ pipelines to analyze multimodal data natively in SQL.
  • Create Agentic AI orchestration frameworks in Snowflake Intelligence.
  • Integrate Snowflake ML assets (Model Registry, Feature Store, Notebooks, Snowpark etc.) where custom models are needed.
  • Enforce Snowflake Horizon governance patterns including RBAC, data encryption, auditability across internal and external data sources.
  • Ensure trusted AI practices (e.g. model safety & filtering).
  • Optimize AI pipelines through right sizing of serverless compute, efficient application design, meeting desired latency.
  • Establish observability for Cortex AI services for application monitoring and cost management.
  • Manage the new requirements, create design artifacts, develop codebase, CI / CD pipelines.
  • Lead a team of small to medium capacity in an onsite-offshore model.
  • Collaborate with cross-functional stakeholders such as Data Engineering, Architecture, Operations, Security/Risk & Compliance etc.
Generic Managerial Skills, If Any
  • Strong experience leading an AI development team of small to medium capacity in onsite-offshore model.
  • Strong experience in customer-facing engagement, communication, stakeholder management.

IT & Technology > IT - Other > IT & Technology

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