AI Platform Architect, Strategy and Enablement

Posted Yesterday
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14 Locations
Remote or Hybrid
Expert/Leader
Consulting • Financial Services
The Role
Own the multi-year strategy, architecture, governance, reliability, monitoring, and cost optimization of EisnerAmper’s Azure-based AI platform. Establish enterprise standards for model lifecycle management, LLM evaluation, routing, security, compliance, and agent deployment. Build shared observability and enablement capabilities, manage vendor and model portfolios, deliver executive dashboards, and mentor technical and business teams while scaling the platform across Tax, Audit, Advisory, and Outsourcing.
Summary Generated by Built In
Job Description

At EisnerAmper, 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 EisnerAmper 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.  

EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement who will serve as the technical backbone of EisnerAmper’s AI transformation, owning the performance, reliability, and cost-efficiency of the EisnerAI 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 EisnerAmper:
  • 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

    • We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions

    • We understand that embracing our differences is what unites us as a team and strengthens our foundation

    • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For: Own and Execute AI Platform Strategy
  • 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.

Lead Platform Strategy and Architecture
  • 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 from intelligent tax preparation to agentic audit workflows gets built.

  • Codify AI and data governance (NIST AI RMF, PCAOB, Section 7216, and emerging requirements including the EU AI Act) into enforceable platform-level controls and automated compliance checks, in partnership with the firm's existing 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 Cross-Cutting Capability Enablement
  • 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 rather than one each team rebuilds independently.

  • Own identity, access, and security controls for AI systems and agents firmwide, establishing the guardrails that let Tax, Audit, Advisory, and Outsourcing scale their own 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.

Basic 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

Preferred or Desired Qualifications
  • Master'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 preferred

  • Data Platforms: ADLS Gen2, Cosmos DB, Azure SQL, Azure Synapse/Databricks for analytics and data engineering

  • AI Search & RAG: Vector search, semantic ranking, knowledge mining, and retrieval pipeline optimization

  • Governance & Compliance Tooling: Microsoft Purview, Azure Policy, data lineage, and audit logging frameworks

  • Monitoring & Observability: Azure Monitor, Application Insights, Log Analytics, custom dashboards (Power BI, Grafana)

  • Programming Languages: Python, C#, TypeScript, SQL, Bicep/Terraform

  • DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes, CI/CD pipeline design

  • Cost Management: Azure Cost Management, FinOps practices, token-level cost tracking and optimization

  • Proven track record of designing and implementing data governance frameworks and compliance controls at enterprise scale

  • Experience managing cloud cost optimization initiatives with demonstrated savings outcomes

  • Demonstrated experience mentoring technical and non-technical teams across organizational boundaries, and 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

  • Demonstrated 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 U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future. 

EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law.

About EisnerAmper:  

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. 

Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients. 

Should you need any accommodations to complete this application please email: [email protected]  

#LI-JK3

#LI-Hybrid

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Preferred Location:
Philadelphia

Skills Required

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a 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 scaling platforms across multiple business units
  • 5+ years architecting enterprise-scale solutions on Microsoft Azure
  • Direct experience with Azure 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
  • Master’s degree in Computer Science, AI/ML, Cloud Architecture, or an MBA with technical focus
  • Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent certification
  • Experience with ADLS Gen2, Cosmos DB, Azure SQL, Azure Synapse, or Databricks
  • Experience with vector search, semantic ranking, knowledge mining, RAG, 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, or Grafana
  • Programming experience with Python, C#, TypeScript, SQL, Bicep, or Terraform
  • Experience with Azure DevOps, GitHub Actions, Docker, Kubernetes, and CI/CD pipeline design
  • Experience with Azure Cost Management, FinOps, and token-level cost optimization
  • Experience designing enterprise-scale data governance frameworks and compliance controls
  • 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
  • Strong stakeholder management across engineering, governance, and business-line functions
  • Experience translating governance, risk, or compliance requirements into platform controls or operational practices
  • Authorization to work for any employer in the United States without visa sponsorship

EisnerAmper Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EisnerAmper and has not been reviewed or approved by EisnerAmper.

  • Fair & Transparent Compensation — Fair & Transparent Compensation: Pay is considered competitive within public accounting in several practices and locations. Satisfaction tends to rise when bonuses are included in total compensation.
  • Strong & Reliable Incentives — Strong & Reliable Incentives: Bonus eligibility appears broad across the firm. Consistent access to bonuses strengthens overall pay perceptions.
  • Parental & Family Support — Parental & Family Support: Paid parental leave is paired with family‑building support through Progyny. These offerings indicate attention to diverse family needs.

EisnerAmper Insights

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The Company
HQ: London
3,159 Employees

What We Do

EisnerAmper, one of the largest business consulting firms in the world, is comprised of EisnerAmper LLP, a licensed independent CPA firm that provides client attest services; and Eisner Advisory Group LLC, an alternative practice structure that provides business advisory and non-attest services in accordance with all applicable laws, regulations, standards and codes of conduct. Clients are in all business sectors and leverage a complete menu of service offerings. Our combined entities include more than 350 partners and nearly 4,000 employees. For more information, please visit eisneramper.com, and be sure to follow us on Twitter, LinkedIn & Facebook.

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