Engineer, AI Engineer

2 weeks ago Be among the first 25 applicants

• 5+ Hands on experience on Snowflake AI Data Cloud.
• 2+ 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.
• 3+ 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.

• 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 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.

Salary Range – $130,000 – $140,000 a year

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.