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. EisnerAmper is seeking an AI Solution Architect to join our Advisory Services team, focused on designing and delivering AI-powered solutions for our external clients across industries. In this role, you will lead the technical design and implementation of intelligent systems that transform how our clients operate — from finance automation and compliance monitoring to data analytics and decision intelligence. You will serve as both a trusted advisor and hands-on architect, working directly with clients to assess needs, develop tailored AI roadmaps, and deliver scalable, secure, and effective solutions that drive measurable business impact. 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 new 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
- Lead design and deployment of AI-powered client solutions across multiple different industries
- Partner with clients to translate business objectives into AI and data strategies, leveraging Azure solution’s AI and data ecosystem.
- Architect end-to-end AI environments, ensuring seamless integration across Data Management, Governance, AI, Agent, and Application layers.
- Drive model evaluation, fine-tuning, and optimization for custom LLMs, cognitive services, and generative AI applications.
- Build and manage intelligent agent frameworks tailored to client use cases.
- Collaborate with client stakeholders to ensure adherence to responsible AI practices, data governance, and regulatory standards.
- Deliver presentations, proofs of concept, and technical demonstrations to client executives and decision-makers.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
- Master’s degree preferred (Computer Science, AI/ML, or MBA with technical focus).
- 6+ years of software development experience with 4+ years in AI/ML architecture or implementation roles.
- 3+ years of hands-on experience with Azure cloud services and enterprise or client-scale solutions.
- 3+ years clients in a consulting or advisory capacity, translating business problems into technical solutions.
- 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.
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