AI Platform Architect - Strategy, Scale & Governance

EisnerAmper; Columbus (GA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Top Places to Work awards

Work‑life balance with flexible days

Autonomy to reach goals

Job summary

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement to serve as the technical backbone of EisnerAmper's AI transformation. You will own performance, reliability, and cost-efficiency of the EisnerAI Platform, define multi-year roadmaps, and scale to 1,000 deployed agents across tax, audit, advisory, and outsourcing.

Reporting to the Chief AI Officer, you will collaborate with hyperscalers and AI vendors to extend platform capability.

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 including experience as a Chief Architect or Enterprise Solutions Architect with a demonstrated record of scaling platforms across multiple business units
• 5+ years architecting enterprise-scale solutions on Microsoft Azure including AI Foundry, Azure OpenAI, Cosmos DB, ADLS, Purview, and AI Search with direct accountability for platform reliability and cost at production scale
• 3+ years leading LLM benchmarking, evaluation, and optimization programs in production environments, with a track record of translating model performance data into platform-wide selection and routing strategy

Responsibilities

• Own the multi-year platform roadmap - architecture, model lifecycle, and governance-as-code - scaling the EisnerAI Platform on Azure toward 1,000+ deployed agents while ensuring Tax, Audit, Advisory, and Outsourcing build on one coherent foundation
• Define and enforce model lifecycle standards (active, legacy, deprecated, retired) and evaluation benchmarks across the firm's multi-LLM environment
• Own the connection between the EisnerAI Platform and the firm's broader technology ecosystem (ETI), establishing this bridge proactively
• Ensure the platform roadmap and standards account for both B2B and B2C dimensions of the firm's AI use - firmwide client service delivery as well as direct-to-client and wealth management contexts
• Architect and evolve the platform's core data, application, and agentic layers on Azure AI Foundry, establishing the reference architecture and technical standards
• Codify AI and data governance into enforceable platform-level controls and automated compliance checks
• Lead AI performance engineering across the firm's LLM ecosystem, benchmarking models for accuracy, latency, cost, and quality, and directing routing and optimization strategy
• Build and operate the platform's real-time performance monitoring layer, hallucination rates, retrieval precision, adoption, and cost-per-interaction
• Own identity, access, and security controls for AI systems and agents firmwide
• Deliver executive dashboards translating platform performance, adoption, and cost into business value narratives

Skills

Cloud architecture

LLM benchmarking

Cost optimization

Governance & compliance

Stakeholder management

Azure

Education

Bachelor's degree in Computer Science or related field

10+ years technology strategy/enterprise architecture

Tools

Azure AI Foundry

Azure OpenAI

Cosmos DB

ADLS Gen2

Purview

AI Search

Job description

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement to serve as the technical backbone of EisnerAmper's AI transformation. You will own performance, reliability, and cost-efficiency of the EisnerAI Platform, define multi-year roadmaps, and scale to 1,000 deployed agents across tax, audit, advisory, and outsourcing.

Reporting to the Chief AI Officer, you will collaborate with hyperscalers and AI vendors to extend platform capability.