Job Description
At 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, Strategy & Enablement who will serve as the technical backbone of Eisner Amper’s AI transformation, owning the performance, reliability, and cost-efficiency of the Eisner AI Platform. This role will own and execute AI Platform strategy, defining the multi-year roadmap, cross-service-line capability, and coherence that position the platform as a strategic asset, scaling to 1,000 deployed AI agents across every solution, from intelligent tax preparation to agentic audit workflows. The role will build model lifecycle, evaluation, and multi-vendor orchestration as usage expands across every team.
Reporting to the Chief AI Officer, this is a high-impact, high-visibility role at the intersection of platform architecture, AI engineering, and strategic operations.



The critical dimensions of this position are internal - elevating platform fluency and technical depth across teams and external — cultivating strategic partnerships across the hyperscaler and AI vendor ecosystem to extend platform capability into wide ecosystem integration opportunities.
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 industry
You will have the flexibility to manage your days in support of our commitment to work/life balance
You will join a culture that has received multiple top “Places to Work” awards Own and Execute AI Platform Strategy Own the multi-year platform roadmap — architecture, model lifecycle, and governance-as-code — scaling the Eisner AI 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 workplace, 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 Eisner AI 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

📌 Ai Platform Architect, Strategy And Enablement (Melville)
🏢 EisnerAmper
📍 Melville