Job Description
Work with a nationally ranked CPA and advisory firm that is passionate for what's next.
Key Responsibilities
- Design and architect end-to-end AI/ML solutions, ensuring they align with business objectives and scalability requirements.
- Define overall architecture and data pipelines, selecting appropriate AI tools and frameworks for each project.
- Ensure best practices are applied in security, scalability, and maintainability of AI systems.
- Build, test, and deploy AI and machine learning models on Azure platforms (Azure ML, Cognitive Services, Azure Data Factory, Azure Synapse), or other best of industry solutions.
- Develop APIs and integration points for seamless data exchange between AI solutions and existing business systems (e.g., Internal Systems/Databases, Microsoft Dynamics 365, SharePoint, Power BI).
- Implement CI/CD pipelines, containerization (Docker, Kubernetes), and automated testing to ensure efficient deployment and monitoring of AI models.
- Establish MLOps best practices for continuous integration, delivery, and monitoring of models.
- Optimize AI model performance for scalability and low latency in production.
- Implement solutions using infrastructure-as-code principles and tools to enhance reliability and scalability.
- Work closely with tax, audit, and advisory teams to identify use cases where AI can add value.
- Translate domain requirements into technical specifications and AI solutions.
- Provide technical guidance and mentorship to junior AI engineers and developers.
- Stay current with advancements in AI.
- Experiment with and implement new AI techniques and tools to enhance service offerings.
- Develop Proof of Concepts (POCs) for innovative AI solutions.
- Create and maintain comprehensive documentation for AI models, data pipelines, and system architecture.
- Ensure AI solutions comply with data privacy, security policies, and ethical AI guidelines.
- Provide training and support to other developers and end-users to increase AI literacy.
Requirements
- Proven experience in AI architecture, design, and deployment with Microsoft Azure Cloud Technologies, or similar industry best technologies (Azure ML, Cognitive Services, Azure Data Factory, Azure Kubernetes Service, etc.).
- Proficiency in programming languages such as C#, Python, R, or JavaScript.
- Strong understanding of machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn).
- Familiarity with Microsoft Power Platform (Power BI, Power Apps, Power Automate) and integrating AI models with these tools.
- Experience with DevOps tools and practices including CI/CD, containerization (Docker, Kubernetes), and automated testing.
- Knowledge of data architecture, databases, and data lakes (SQL, NoSQL, Azure Synapse, etc.).
- Knowledge and experience with vector databases or knowledge bases for retrieval-augmented generation.
- Knowledge and experience of prompt engineering and fine-tuning large models.
- Excellent analytical, problem-solving, and decision-making abilities.
- Strong communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
- Collaboration and teamwork skills with a proactive, innovative mindset.
- Bachelor’s degree in Computer Science, MIS, or similar.
- Prior AI experience is a major plus.
- Experience with Automation tools such as UiPath or Blue Prism.
- Previous experience in the Accounting Technology Industry.
- Certifications in Microsoft Azure (e.g., Azure AI Engineer Associate).
- Experience with generative AI frameworks such as LangChain or Semantic Kernel
Ready to Apply?
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