July 15, 2026

AI Platform Architect

Dormont Manufacturing Co Scranton, Pennsylvania

Job DescriptionAt Eisner Amper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you’re starting out in your career or taking your next step as a seasoned professional, the Eisner Amper experience is one-of-a-kind. 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. A critical dimension of this position is mentoring and developing talent across organizational boundaries—partnering with IT infrastructure teams, the AI Advisory service line, and functional business units to build platform fluency and AI capability firmwide.What it Means to Work for Eisner Amper:You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industryYou will have the flexibility to manage your days in support of our commitment to work/life balanceYou will join a culture that has received multiple top “Places to Work” awardsWhat Work You Will be Responsible For:Architect and scale the EisnerAI Platform on Azure, designing core data, application, and agentic layers to support growth toward 1,000+ AI agentsCodify AI governance policies (NIST AI RMF, PCAOB, Section 7216) into enforceable platform-level controls, automated compliance checks, and governance-as-code pipelinesServe as a technical mentor and cross-functional leader, elevating AI platform capabilities across IT, AI Advisory, and engineering teamsLead AI performance engineering across the firm’s LLM ecosystem — benchmarking models (GPT-4o, o3, etc.) 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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