AI/ML Engineer (Architect)

Hiring: AI/ML Engineer (Architect)

We are seeking an experienced AI/ML Engineer / AI Architect with deep expertise in Snowflake Cortex and Generative AI to lead the design and implementation of enterprise-grade conversational AI solutions.

The ideal candidate will architect intelligent applications using Snowflake Cortex, Cortex Analyst, Cortex Agents, CoWork, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. Hands-on experience designing, developing, and deploying Agentic AI applications is mandatory. This role requires experience building secure, scalable, production-ready AI solutions that transform enterprise data into actionable business insights for Sales, Marketing, Product, and Executive stakeholders.

Important

Visa: USC and GC only

Location: Remote Job

Key Responsibilities

AI Solution Architecture

• Design and implement enterprise-scale Generative AI solutions using Snowflake Cortex native capabilities.
• Define AI architecture, knowledge retrieval strategies, embedding models, chunking techniques, and semantic search patterns.
• Build scalable, secure, and governed AI applications following enterprise best practices.

Snowflake Cortex Development

• Develop AI applications using Cortex Complete, Cortex Search, Cortex Analyst, Cortex Agents, Cortex AI Functions, and CoWork.
• Leverage Snowflake native AI capabilities to build intelligent assistants and business copilots.

Retrieval-Augmented Generation (RAG)

• Design and optimize advanced RAG pipelines.
• Implement hybrid search combining semantic and keyword retrieval.
• Develop chunking, indexing, re-ranking, and context optimization strategies to maximize response quality.

Agentic AI Development

• Design, develop, and deploy autonomous AI agents using Cortex Agents.
• Build Planner–Tool–Executor–Refiner workflows capable of solving complex, multi-step business problems.
• Integrate AI agents with enterprise tools, SQL, APIs, and business workflows.
• Evaluate, optimize, and monitor agent performance for accuracy, reliability, and business outcomes.

Prompt Engineering & AI Optimization

• Develop reusable prompt libraries and system prompts.
• Optimize prompts for accuracy, consistency, latency, and business relevance.
• Utilize Snowflake AI functions for summarization, classification, translation, sentiment analysis, and information extraction.

AI Evaluation & Responsible AI

• Design and implement AI evaluation frameworks using LLM-as-a-Judge methodologies.
• Measure faithfulness, relevancy, groundedness, toxicity, hallucination, response quality, and Agentic AI performance.
• Implement Cortex Guardrails and Responsible AI practices to ensure secure, trustworthy, and compliant AI responses.

Production Deployment & Governance

• Deploy AI applications across development, testing, and production environments.
• Implement CI/CD pipelines and deployment automation for Snowflake AI solutions.
• Ensure governance, monitoring, observability, access controls, and lifecycle management of AI applications.

Performance & Cost Optimization

• Optimize inference performance, latency, and Snowflake credit consumption.
• Monitor AI workloads and implement strategies for efficient compute utilization.
• Design cost-effective AI architectures without compromising user experience.

Required Skills & Experience

Experience

• 8+ years of experience in AI/ML, Data Engineering, or Data Platforms.
• Minimum 2+ years building production-grade Generative AI or LLM-based applications.
• Experience delivering enterprise AI solutions on Snowflake.
• Hands-on experience designing, developing, deploying, and evaluating Agentic AI applications is required.

Snowflake Cortex Expertise (Must Have)

Strong hands-on experience with Snowflake Cortex Native AI Features, including Cortex Complete, Cortex Search, Cortex Analyst, Cortex Agents, CoWork, Snowflake AI Functions, Snowpark, and Snowflake Intelligence (preferred).

Generative AI

Strong expertise in Retrieval-Augmented Generation (RAG), Prompt Engineering, Vector Embeddings, Semantic Search, Hybrid Search, Re-ranking, Context Window Optimization, Chunking Strategies, and Agentic AI Frameworks.

AI Evaluation & Responsible AI (Must Have)

Hands-on experience implementing AI Evaluation Frameworks, LLM-as-a-Judge, Response Evaluation Metrics, Hallucination Detection, Groundedness Evaluation, Cortex Guardrails, Agentic AI evaluation, Responsible AI practices, and AI Quality Monitoring…