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AI Platform Architect – Strategy and Enablement
EisnerAmper. Own and execute the multi-year AI Platform strategy and roadmap .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and scaling enterprise-level AI solutions on Microsoft Azure, with a strong focus on data governance, performance optimization, and integration within broader technology ecosystems. Proven ability to lead cross-functional teams and translate complex model performance data into actionable business strategies.
Highest-signal resume keywords
Azure Solutions Architect ExpertEnterprise-Scale AI Solutions ArchitectureMulti-LLM Benchmarking and OptimizationData Governance FrameworksStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
PythonC#TypeScriptSQLBicepTerraformAzure AI FoundryCosmos DBADLSAzure Monitor
Soft Skills
MentoringStakeholder ManagementCross-Functional Collaboration
Tools & Technologies
Azure OpenAIAzure SQLAzure SynapseDatabricksPower BIGrafanaAzure DevOpsDockerKubernetesCI/CD Pipeline Design
Certifications & Qualifications
Azure Solutions Architect ExpertAzure AI Engineer Associate
Industry Keywords
AI Platform StrategyData GovernanceEnterprise ArchitectureB2B and B2C AI Use CasesModel Lifecycle Standards
Tech Stack
Tools & technologiesAzureCloudDockerGrafanaKubernetesPythonSQLTerraformTypeScript
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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