AI Platform Architect – Strategy and Enablement

Job not on LinkedIn

🔥 0 minutes ago

🌽 Illinois, New Jersey, +7 more states – Remote

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⏰ Full Time

🟠 Senior

🔴 Lead

🔙 Backend Engineer

Where this job comes from

Posted on EisnerAmper's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

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EisnerAmper

1001 - 5000 employees

Founded 1963

🏥 Healthcare

📦 Logistics

⚖️ Legal

💰 Debt Financing on 2021-08

Healthcare • Logistics • Legal

EisnerAmper is a professional services firm offering businesses, government organizations, and individuals a wide range of accounting, audit, tax, advisory, and outsourcing services. The company specializes in helping clients respond quickly to urgent issues, anticipate opportunities and risks, and grow efficiently. EisnerAmper leverages industry-specific expertise and cutting-edge technologies to provide tailored solutions, supporting clients from various sectors including financial services, healthcare, real estate, and technology. Through their comprehensive approach, EisnerAmper prepares clients for regulatory changes, operational challenges, and strategic growth.

📋 Description

• Own and execute the multi-year AI Platform strategy and roadmap • Scale the EisnerAI Platform on Azure toward 1,000+ deployed AI agents across Tax, Audit, Advisory, and Outsourcing • Define model lifecycle standards and evaluation benchmarks across the multi-LLM environment • Own integration between the EisnerAI Platform and the firm's broader technology ecosystem • Account for B2B and B2C AI use cases, including client service delivery, direct-to-client, and wealth management contexts • Architect and evolve core data, application, and agentic layers on Azure AI Foundry • Establish reference architecture and technical standards for AI solutions • Codify AI and data governance requirements into platform controls and automated compliance checks • Lead AI performance engineering, model benchmarking, routing, and optimization across the LLM ecosystem • Build and operate real-time monitoring for performance, hallucination rates, retrieval precision, adoption, and cost-per-interaction • Own identity, access, and security controls for firmwide AI systems and agents • Deliver executive- and board-level dashboards translating platform performance, adoption, and cost into business value • Mentor technical and business teams across IT, AI Advisory, and service lines to build platform fluency • Cultivate strategic partnerships across hyperscaler and AI vendor ecosystems

🎯 Requirements

• 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 • 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 • Direct accountability for platform reliability and cost at production scale • 3+ years leading LLM benchmarking, evaluation, and optimization programs in production environments • Track record of translating model performance data into platform-wide selection and routing strategy • Master's degree preferred in Computer Science, AI/ML, Cloud Architecture, or MBA with technical focus • Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent certifications strongly preferred • Experience with ADLS Gen2, Cosmos DB, Azure SQL, Azure Synapse/Databricks • Experience with vector search, semantic ranking, knowledge mining, and retrieval pipeline optimization • Experience with Microsoft Purview, Azure Policy, data lineage, and audit logging frameworks • Experience with Azure Monitor, Application Insights, Log Analytics, Power BI, and Grafana • Programming proficiency in Python, C#, TypeScript, SQL, and Bicep/Terraform • Experience with Azure DevOps, GitHub Actions, Docker, Kubernetes, and CI/CD pipeline design • Experience with Azure Cost Management, FinOps practices, and token-level cost tracking and optimization • Proven track record designing and implementing enterprise-scale data governance frameworks and compliance controls • Experience managing cloud cost optimization initiatives with demonstrated savings outcomes • Experience mentoring technical and non-technical teams across organizational boundaries • Experience owning vendor or model portfolio strategy in a multi-LLM environment • Experience establishing or scaling a platform roadmap and adoption model from an engineering-first starting point • Track record of leading through ambiguous, rapidly evolving technology landscapes • Strong stakeholder management across engineering, governance, and business-line functions • Experience translating governance, risk, or compliance requirements into platform-level controls or operational practice • Applicants must be authorized to work for any employer in the United States • Employment visa sponsorship is unavailable now or in the future

🏖️ Benefits

• Flexibility to manage your days in support of work/life balance • Culture recognized with multiple top “Places to Work” awards • Merit-based employer • Application accommodations available

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