AI Platform Architect, Strategy & Enablement

EisnerAmper; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement who will serve as the technical backbone of EisnerAmper's AI transformation, owning the EisnerAI Platform's performance, reliability, and cost efficiency.

This role will define the multi-year roadmap and cross-service-line coherence, scaling to 1,000 deployed agents across solutions from intelligent tax preparation to agentic audit workflows.

Qualifications

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

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, turning vendor and model choices - GPT-4o, o3, and what comes next, into a deliberate portfolio strategy rather than ad hoc adoption.
• Own the connection between the EisnerAI Platform and the firm's broader technology ecosystem (ETI), establishing this bridge proactively rather than retrofitting it once scale makes it expensive.
• Architect and evolve the platform's core data, application, and agentic layers on Azure AI Foundry, establishing the reference architecture and technical standards that govern how every solution gets built.
• Codify AI and data governance (NIST AI RMF, PCAOB, Section 7216, and emerging requirements including the EU AI Act) into enforceable platform-level controls and automated compliance checks, in partnership with the firm's existing AI governance function.
• Lead AI performance engineering across the firm's LLM ecosystem, benchmarking models for accuracy, latency, cost, and quality, and directing routing and optimization strategy to continuously lower cost-per-agent without sacrificing output quality.

Skills

Tech strategy & architecture

Azure architecture

LLM benchmarking

Education

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

Master's degree preferred

Tools

Azure AI Foundry

Azure OpenAI

Cosmos DB

ADLS

Purview

AI Search

Job description

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement who will serve as the technical backbone of EisnerAmper's AI transformation, owning the EisnerAI Platform's performance, reliability, and cost efficiency.

This role will define the multi-year roadmap and cross-service-line coherence, scaling to 1,000 deployed agents across solutions from intelligent tax preparation to agentic audit workflows.