AI Platform Architect

Job DescriptionAt Eisner Amper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. You can design a career you’ll love from top to bottom – we give you the tools you need to succeed and the autonomy to reach your goals.Eisner Amper is seeking an AI Platform Architect who will serve as the technical backbone of Eisner Amper’s AI transformation, owning the performance, reliability, and cost-efficiency of the EisnerAI Platform. This role is purpose-built to accelerate our journey to 1,000 deployed AI agents by designing and optimizing the infrastructure that powers every solution—from intelligent tax preparation to agentic audit workflows. The Platform Architect will benchmark and evaluate LLMs, codify AI and data governance into platform guardrails, build executive-grade reporting, and relentlessly drive cost and performance optimization across the entire AI stack.Reporting to the AI Development Lead, this is a high-impact, high-visibility role at the intersection of architecture, AI engineering, and strategic operations. for accuracy, latency, cost, and quality to drive model selection and routing strategyBuild and operate a real-time AI performance monitoring layer tracking hallucination rates, retrieval precision, adoption, cost-per-interaction, and ROIOptimize prompts, model configurations, and routing strategies to maximize output quality while reducing token consumption and overall platform costOwn AI cost management across Azure AI Foundry and related services, implementing intelligent model routing, caching, and token budgeting to continuously lower cost-per-agentEnsure all AI deployments meet regulatory, risk, and firm data governance standards prior to productionDeliver executive and board-level dashboards translating AI performance, adoption, and cost metrics into clear business value narrativesBasic Qualifications:Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field8+ years of experience in cloud platform architecture, infrastructure engineering, or AI/ML platform development5+ years of hands‑on experience with Microsoft Azure services (AI Foundry, Azure OpenAI, Cosmos DB, ADLS, Purview, AI Search)3+ years of experience benchmarking, evaluating, and optimizing LLM-based systems in production environmentsPreferred or Desired QualificationsMaster’s degree preferred (Computer Science, AI/ML, Cloud Architecture, or MBA with technical focus)Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent certifications strongly preferredData Platforms: ADLS Gen2, Cosmos DB, Azure SQL, Azure Synapse/Databricks for analytics and data engineeringAI Search & RAG: Vector search, semantic ranking, knowledge mining, and retrieval pipeline optimizationGovernance & Compliance Tooling: Microsoft…

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