> Markdown version of [/jobs/ext/4715231-ai-solution-architect](https://www.wearedevelopers.com/jobs/ext/4715231-ai-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solution Architect - **Company:** EisnerAmper LLP - **Location:** Niagara Falls, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Application Layers, Computer Vision, Microsoft Azure, C Sharp (Programming Language), Information Engineering, DevOps, Github, Information Extraction, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Azure Machine Learning, Search Technologies, Software Engineering, TypeScript, Enterprise Search, Data Logging, Pinecone, Pytorch, Large Language Models, Prompt Engineering, Model Validation, Agentic-AI, Scikit Learn, Kubernetes, Information Technology, Weaviate, Azure OpenAI API, Cosmos DB, Data Management, Machine Learning Operations, GPT, Natural Language Understanding, Docker, Databricks - **Published:** November 14, 2026 - **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-DEA1D88DE1807F2659/ ## About the Role * 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 ## Description * 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