Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this AI Platform Architect, Strategy and Enablement role.
Rezi rewrites your resume against EisnerAmper's job description. Free.
Tailor your resume to this AI Platform Architect, Strategy and Enablement role.
Rezi rewrites your resume against EisnerAmper's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the AI Platform Architect, Strategy and Enablement posting at EisnerAmper — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the AI Platform Architect, Strategy and Enablement posting at EisnerAmper — free, in seconds.
About the Role
EisnerAmper is seeking an AI Platform Architect, Strategy & Enablement to serve as the technical backbone of EisnerAmper’s AI transformation. 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. The role will build model lifecycle, evaluation, and multi-vendor orchestration as usage expands across every team. This is a high-impact, high-visibility role at the intersection of platform architecture, AI engineering, and strategic operations.
Responsibilities
- 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 into a deliberate portfolio strategy.
- Own the connection between the EisnerAI Platform and the firm's broader technology ecosystem (ETI), establishing this bridge proactively.
- Ensure the platform roadmap and standards account for both B2B and B2C dimensions of the firm's AI use.
- 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.
- Codify AI and data governance into enforceable platform-level controls and automated compliance checks.
- Lead AI performance engineering across the firm's LLM ecosystem, benchmarking models for accuracy, latency, cost, and quality, and directing routing and optimization strategy.
- 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.
- Own identity, access, and security controls for AI systems and agents firmwide.
- Deliver executive and board-level dashboards translating platform performance, adoption, and cost into business value narratives.
- Mentor technical and business teams across IT, AI Advisory, and service lines to build platform fluency firmwide.
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 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
- 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.
Skills
- AI Platform Strategy
- Enterprise Architecture
- Platform Leadership
- Microsoft Azure
- AI Foundry
- Azure OpenAI
- Cosmos DB
- ADLS
- Purview
- AI Search
- LLM Benchmarking
- Model Evaluation
- Model Optimization
- Data Governance
- Compliance Controls
- Cloud Cost Optimization
- Mentoring
- Stakeholder Management
- Python
- C#
- TypeScript
- SQL
- Bicep/Terraform
- DevOps
- MLOps
- Docker
- Kubernetes
- CI/CD
- FinOps
Location
- Philadelphia
Work Type
- Hybrid
- Remote
Experience Level
- 10+ years of experience in technology strategy, enterprise architecture, or platform/product leadership
- 5+ years architecting enterprise-scale solutions on Microsoft Azure
- 3+ years leading LLM benchmarking, evaluation, and optimization programs
Education Level
- Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
- Master's degree preferred (Computer Science, AI/ML, Cloud Architecture, or MBA with technical focus)
About the Company
- At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact.
- 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.
Equal Opportunity
- 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.