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Job Description
Structured overview of role & requirementsAbout This Role
Lead and mentor a team of developers and engineers to deliver AI solutions across EisnerAmper’s tax, audit, outsourcing, and advisory services.
Design, develop, and support integration of AI platform components including Data Management, Governance, AI agents, and Application layers.
Collaborate with senior architects and stakeholders to implement scalable AI models and ensure adherence to data governance and responsible AI practices.
Minimum Requirements
Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field; Master’s preferred.
6+ years software development experience with 2+ years in AI/ML solution architecture or technical leadership.
2+ years hands-on experience with Microsoft Azure AI services, especially Azure OpenAI Service and Azure Databricks.
Experience leading small to mid-sized technical teams or managing project deliverables.
Ideal Candidate Profile
Experienced in Azure AI Foundry ecosystem with proficiency in GPT models, prompt engineering, and fine-tuning.
Strong background in AI solution design principles and enterprise application integration within cloud environments.
Comfortable leading cross-functional teams and coordinating delivery of complex AI initiatives aligned with governance and compliance requirements.