Remote AI Platform Architect & Strategy Lead

EisnerAmper; Columbus (GA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

EisnerAmper seeks an AI Platform Architect, Strategy & Enablement to drive the EisnerAI Platform's performance, reliability, and cost-efficiency. You will own multi-year roadmaps, model lifecycle standards, and cross-service-line coherence across Tax, Audit, Advisory, and Outsourcing.

Reporting to the Chief AI Officer, you will build governance, orchestration across multi-LLMs, and partner with hyperscalers and AI vendors to scale platform capabilities firmwide.

Qualifications

• Bachelor's degree in a technical field and 10+ years in technology strategy or enterprise architecture.
• 5+ years leading Azure-based enterprise-scale solutions with cost and reliability accountability.
• 3+ years running production-level LLM benchmarking and optimization programs.
• Proven ability to translate governance, risk, and compliance into platform controls.

Responsibilities

• Own the multi-year AI platform roadmap, architecture, governance, and cost efficiency.
• Define model lifecycle standards and evaluation benchmarks across a multi-LLM environment.
• Lead data governance, security, and compliance alignment for enterprise-scale AI use.
• Deliver dashboards and mentor teams to raise platform fluency across service lines.

Skills

Technology strategy

Enterprise architecture

Platform leadership

LLM benchmarking

Vendor management

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field

Master's degree preferred

Tools

Azure AI Foundry

Azure OpenAI

Cosmos DB

ADLS / Purview

AI Governance tooling

Job description

EisnerAmper seeks an AI Platform Architect, Strategy & Enablement to drive the EisnerAI Platform's performance, reliability, and cost-efficiency. You will own multi-year roadmaps, model lifecycle standards, and cross-service-line coherence across Tax, Audit, Advisory, and Outsourcing.

Reporting to the Chief AI Officer, you will build governance, orchestration across multi-LLMs, and partner with hyperscalers and AI vendors to scale platform capabilities firmwide.