Strategic AI Platform Architect: Azure & Governance

EisnerAmper; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement to lead the EisnerAI platform across Azure, scale to 1,000+ agents, and own lifecycle governance. You will bridge AI engineering with enterprise strategy and partner with hyperscalers to expand platform capabilities.

Reporting to the Chief AI Officer, you will drive platform performance, cost-efficiency, and cross-service-line coherence, while aligning with regulatory standards and client-service delivery needs.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
• 10+ years of experience in technology strategy, enterprise architecture, or platform/product 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 environments.

Responsibilities

• Own the multi-year platform roadmap—architecture, model lifecycle, and governance-as-code—scaling EisnerAI on Azure toward 1,000+ deployed agents.
• Define and enforce model lifecycle standards and evaluation benchmarks across the firm's multi-LLM environment.
• Own the connection between EisnerAI Platform and the firm's broader technology ecosystem (ETI).
• Ensure platform roadmap and standards account for both B2B and B2C AI use cases.

Skills

Tech strategy

Enterprise architecture

Platform leadership

Azure experience

LLM benchmarking

Governance & compliance

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Tools

Azure Foundry

Azure OpenAI

Cosmos DB

ADLS

Purview

AI Search

Docker

Kubernetes

Power BI

Grafana

GitHub Actions

Azure DevOps

Terraform

Job description

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement to lead the EisnerAI platform across Azure, scale to 1,000+ agents, and own lifecycle governance. You will bridge AI engineering with enterprise strategy and partner with hyperscalers to expand platform capabilities.

Reporting to the Chief AI Officer, you will drive platform performance, cost-efficiency, and cross-service-line coherence, while aligning with regulatory standards and client-service delivery needs.