AI Platform Architect — Strategy & Enablement (Remote)

EisnerAmper; Princeton (NJ); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Work-life balance

Top awards culture

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 the platform strategy, roadmap, and governance, guiding cross-service-line capabilities and enabling scalable deployment of AI agents across tax, audit, advisory, and outsourcing.

Reporting to the Chief AI Officer, the role focuses on architecture, model lifecycle, performance engineering, and partnerships with hyperscalers to extend platform

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, 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.
• 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 that govern how every solution gets built.
• Codify AI and data governance into enforceable platform-level controls and automated compliance checks, in partnership with the firm's 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.
• Build and operate the platform's real-time performance monitoring layer, hallucination rates, retrieval precision, adoption, and cost-per-interaction, as a shared capability every service line draws on.
• Own identity, access, and security controls for AI systems and agents firmwide, establishing the guardrails that let various lines scale their use cases safely on shared infrastructure.
• Deliver executive and board-level dashboards translating platform performance, adoption, and cost into business value narratives, and mentor technical and business teams across IT, AI Advisory, and service lines to build platform fluency firmwide.

Skills

Azure Foundry

LLM benchmarking

Python

C#

TypeScript

SQL

Docker

Kubernetes

Cost optimization

Education

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

Tools

Azure Foundry

Azure OpenAI

Cosmos DB

ADLS

Purview

Azure Synapse

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 the platform strategy, roadmap, and governance, guiding cross-service-line capabilities and enabling scalable deployment of AI agents across tax, audit, advisory, and outsourcing.

Reporting to the Chief AI Officer, the role focuses on architecture, model lifecycle, performance engineering, and partnerships with hyperscalers to extend platform