AI Solution Architect

Job Description At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you’re starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you’ll love from top to bottom – we give you the tools you need to succeed and the autonomy to reach your goals. What it Means to Work for EisnerAmper You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry You will have the flexibility to manage your days in support of our commitment to work/life balance You will join a culture that has received multiple top “Places to Work” awards We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions We understand that embracing our differences is what unites us as a team and strengthens our foundation Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work What Work You Will be Responsible For 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 such as 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. 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. Basic Qualifications Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field. 6+ 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. Preferred or Desired Qualifications Master’s degree preferred (Computer Science, AI/ML, or MBA with technical focus). Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem. Azure Machine Learning: MLOps, model deployment, and lifecycle management. Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning. Azure Cognitive Services: Document Intelligence, Language Understanding, and Computer Vision. Azure AI Search: Vector search, semantic search, and knowledge mining. Azure Databricks: Data engineering and ML model development. Programming Languages: Python, C#, JavaScript/TypeScript, SQL. AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers. Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate. DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes. Preferred Location Iselin #J-18808-Ljbffr