AI Platform Architect: Strategy & Enablement Lead

EisnerAmper; Conshohocken (Montgomery County); On-site; USD 180,000 - 260,000; Full time

Job summary

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement to lead the EisnerAI platform on Azure, with responsibility for performance, reliability, and cost-efficiency across 1,000 deployed agents. Reporting to the Chief AI Officer, the role blends platform architecture, AI engineering, and strategic operations.

You will define multi-year roadmaps, drive governance, and partner with hyperscalers and vendors to extend platform capabilities across tax, audit, advisory, and

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
• 10+ years in technology strategy, enterprise architecture, or platform leadership.
• 5+ years architecting enterprise-scale solutions on Microsoft Azure including AI Foundry, Azure OpenAI, Cosmos DB, ADLS, Purview, and AI Search.
• 3+ years leading LLM benchmarking, evaluation, and optimization programs in production.

Responsibilities

• Own the multi-year AI Platform roadmap, architecture, and governance-as-code to scale EisnerAI on Azure toward 1,000+ deployed agents.
• Define model lifecycle standards and evaluation benchmarks across a multi-LLM environment.
• Lead data governance and automated compliance checks (NIST RMF, PCAOB, EU AI Act) for the platform.
• Deliver dashboards and mentor teams to build platform fluency firmwide.

Skills

Strategic thinking

Leadership/mentoring

Stakeholder management

Communication

Platform architecture

Education

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

Tools

Azure AI Foundry

Azure OpenAI

Cosmos DB

ADLS

Purview

AI Search

Azure DevOps

GitHub Actions

Docker

Kubernetes

Python

C#

TypeScript

SQL

Terraform

Bicep

Job description

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement to lead the EisnerAI platform on Azure, with responsibility for performance, reliability, and cost-efficiency across 1,000 deployed agents. Reporting to the Chief AI Officer, the role blends platform architecture, AI engineering, and strategic operations.

You will define multi-year roadmaps, drive governance, and partner with hyperscalers and vendors to extend platform capabilities across tax, audit, advisory, and