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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML architecture and software development, with a strong focus on Microsoft Azure services and responsible AI practices. Proven ability to design and implement technical solutions that enhance data management and governance across professional services.
Highest-signal resume keywords
AI/ML ArchitectureMicrosoft Azure AI ServicesModel Deployment and Lifecycle ManagementPython ProgrammingData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentAzure Machine LearningTensorFlowPyTorchSQLC#JavaScriptTypeScriptScikit-learnTransformers
Tools & Technologies
Azure DevOpsDockerKubernetesGitHub ActionsAzure Cognitive ServicesAzure DatabricksAzure Cosmos DBPineconeWeaviateAzure OpenAI Service
Industry Keywords
Data ManagementGovernanceResponsible AIProfessional ServicesIntelligent Solutions
Tech Stack
Tools & technologiesAzureCloudDockerJavaScriptKubernetesPythonPyTorchScikit-LearnSQLTensorflowTypeScript
About the role
Key responsibilities & impact- Serve as lead developer on the EisnerAI Platform
- Design and implement technical architecture powering intelligent solutions across tax, audit, outsourcing, and advisory services
- Ensure seamless integration across Data Management, Governance, AI, Agents, and Application layers
- Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents
- Lead technical development of the EisnerAI Agent Workforce, including TaxPrepBot, ComplianceRiskBot, DocIntake, and M&A Targeting Bot
- Design agentic frameworks supporting initiation, execution, state management, logging, and error handling
- Ensure adherence to data governance policies and responsible AI practices
- Collaborate across teams to deliver an AI platform transforming professional services
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
- 6+ years of software development experience
- 4+ years in an AI/ML architecture role
- 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions
- Authorized to work for any employer in the U.S.
- No current or future employment visa sponsorship available
- Master's degree preferred in Computer Science, AI/ML, or MBA with technical focus
- Deep expertise in Microsoft Azure AI Foundry and Azure AI services ecosystem
- Experience with Azure Machine Learning, MLOps, model deployment, and lifecycle management
- Experience with Azure OpenAI Service, GPT models, prompt engineering, and fine-tuning
- Experience with Azure Cognitive Services including Document Intelligence, Language Understanding, and Computer Vision
- Experience with Azure AI Search, vector search, semantic search, and knowledge mining
- Experience with Azure Databricks, data engineering, and ML model development
- Proficiency in Python, C#, JavaScript/TypeScript, and SQL
- Experience with TensorFlow, PyTorch, Scikit-learn, and Transformers
- Experience with Azure Cosmos DB, Pinecone, or Weaviate
- Experience with Azure DevOps, GitHub Actions, Docker, and Kubernetes
Benefits
Comp & perks- Flexibility to manage your days in support of work/life balance
- Culture recognized with multiple top “Places to Work” awards
- Inclusive culture valuing differences, ideas, and experiences
- Career development tools and autonomy to reach professional goals
- Application accommodations available upon request