VPP-104 – AI/ML Engineer (Architect) US - Remote

Vekend, Llc; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid time off

Flexible work arrangements

Job summary

Vekend, Llc seeks an experienced AI/ML Engineer to lead the design and implementation of enterprise-grade conversational AI solutions. You will architect intelligent applications using Snowflake Cortex, RAG, and Agentic AI frameworks, delivering secure, scalable AI for Sales, Marketing, Product, and Executives across a remote US environment.

The role demands hands-on experience with Cortex Complete, Cortex Agents, CoWork, and integration with enterprise tools, SQL, and APIs.

Qualifications

• 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.

Responsibilities

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

Skills

AI/ML Engineer

Snowflake Cortex

Generative AI

Agentic AI

Prompt Engineering

AI Governance

Production-grade AI

Enterprise AI

Education

Bachelor's in related area

Tools

Snowflake Cortex (Cortex Complete)

Cortex Analyst

Cortex Agents

CoWork

RAG

Snowflake AI Functions

Snowpark (Python)

REST APIs

Git / CI/CD

Streamlit

Job description

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.

Department:

Project Location(s):

US - Remote

Job Type:

Employee

Education:

Bachelor's in related area

Who You’ll Work With

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.

What You’ll Do

• 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-Judgemethodologies.
• Measure faithfulness, relevancy, groundedness, toxicity, hallucination, response quality, and Agentic AI performance.
• Implement Cortex Guardrailsand 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.

What You’ll Bring

• 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.

Deployment & Governance (Must Have)

Experience with production deployment of AI applications, AI governance and security, model lifecycle management, CI/CD pipelines, monitoring and observability, performance tuning, cost optimization, and Snowflake credit management.

Technical Skills

Advanced SQL, Python, Snowpark (Python), Python UDFs, REST APIs, Git, CI/CD, and Streamlit (preferred).

Experience working with structured and unstructured data, PDFs, documents, meeting transcripts, knowledge bases, and enterprise document repositories.

Strong understanding of vector databases, embedding models, cosine similarity, high-dimensional indexing, and enterprise search architectures.

What Makes Us Great Place To Work

Vekend is a people-first organization focused on developing thoughtful products and services that create meaningful impact for our customers and communities. We are committed to fostering a collaborative, respectful, and inclusive work environment where employees are empowered to take ownership of their work, contribute ideas, and grow professionally. We strive to support flexibility and work-life balance while maintaining high standards of performance and accountability.

Benefits and Wellbeing

For all locations, the good-faith, reasonable annualized full-time compensation for this role will be determined based on competitive market data and may vary depending on geographic location, job-related knowledge, skills, experience, education, and other business considerations. Specific compensation details will be discussed during the interview process.,Vekend offers a comprehensive benefits and wellness package designed to support employees’ overall well-being, financial security, and professional growth. Eligibility and coverage are subject to the terms of the applicable benefit plans and company policies. Eligible employees have access to medical, dental, and vision insurance with company contributions toward premiums, a 401(k) retirement plan with company matching, and Paid Time Off that begins accruing on the first day of employment. We also support flexible work arrangements and opportunities for professional growth. Benefits eligibility, coverage, and company contributions are subject to the terms of the applicable plan documents and may be modified at the company’s discretion.