AI Solution Architect leading technical architecture development for EisnerAI Platform at EisnerAmper. Designing seamless integrations across AI, data management, and governance layers.
Responsibilities
Ensure seamless integration across the platform's 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
Design agentic frameworks supporting initiation, execution, state management, logging, and error handling
Ensure adherence to data governance policies and responsible AI practices
Requirements
Bachelor’s degree in computer science, Engineering, Data Science, or related technical field
Master's degree preferred (Computer Science, AI/ML, or MBA with technical focus)
8+ years of software development experience with 4+ years in AI/ML architecture role
3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions
Strong hands-on expertise with Microsoft Azure AI Foundry and the broader Azure AI services ecosystem
Proven experience with Azure OpenAI Service, including GPT models, prompt engineering, and fine-tuning
Experience implementing Azure AI Search, including vector search, semantic search, and knowledge mining use cases
Hands-on experience with Azure Databricks for data engineering and machine learning model development
Proficiency in at least one programming language such as Python, C#, JavaScript/TypeScript, or SQL.
Benefits
flexibility to manage your days
commitment to work/life balance
culture that has received multiple top “Places to Work” awards
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