Remote AI Architect for Enterprise Analytics & Governance

Harnham; United States; On-site; USD 96,000 - 110,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Vision benefits

401(k) plan

Job summary

Harnham is partnering with a technology company to shape an AI Architect role focused on AI-powered analytics and decision-making. The position involves designing semantic layers, governance for metrics and metadata, and delivering a proof of concept with senior technical stakeholders.

The candidate will drive strategy and hands-on delivery, including production-ready AI models, monitoring, and continuous improvement across modern cloud data environments.

Qualifications

• Experience designing semantic layers, metrics layers, or governed data platforms.
• Strong knowledge of dbt and data transformation best practices.
• Demonstrable experience deploying models to production and managing them.
• Strong understanding of cloud data and analytics environments.
• Experience with LLMs, agentic AI, MCP, RAG, or similar AI technologies.
• Experience evaluating AI system performance and accuracies.
• Exposure to Snowflake, ELT tools, and modern analytics platforms.

Responsibilities

• Design an AI context and semantic layer architecture.
• Build a proof of concept with internal stakeholders.
• Define governance for business metadata, metrics, and contextual data.
• Develop frameworks to evaluate the accuracy and reliability of AI-generated insights.
• Advise on integrating AI assistants with enterprise data platforms.
• Establish monitoring and continuous improvement processes for AI solutions.
• Deliver documentation and recommendations to support long-term adoption.

Skills

Semantic layer design

Metrics layer design

Production model deployment

Cloud data analytics environments

LLMs / agentic AI / RAG

AI governance & evaluation

Stakeholder communication

Tools

dbt

Snowflake

ELT tools

MCP

Job description

Harnham is partnering with a technology company to shape an AI Architect role focused on AI-powered analytics and decision-making. The position involves designing semantic layers, governance for metrics and metadata, and delivering a proof of concept with senior technical stakeholders.

The candidate will drive strategy and hands-on delivery, including production-ready AI models, monitoring, and continuous improvement across modern cloud data environments.