Graduate AI Engineer
Control Risks
AzurePythonSQL
Salary
💰 $150,000 - $180,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AzureCloudPandasPythonSQL
About the role
- Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions)
- Prepare and manage structured and unstructured datasets, ensuring quality inputs for training and evaluation
- Build and deploy AI features into BPM systems and workflows using tools like Copilot Studio, Azure OpenAI, and Power Platform
- Deliver automation solutions that streamline operations and reduce manual effort for Tax, Assurance, and Advisory practices
- Rapidly prototype AI solutions, test emerging tools, and recommend best practices for adoption
- Work closely with IT, business stakeholders, and data governance teams to identify use cases and ensure solutions align with firm goals
- Apply responsible AI practices, ensuring models are accurate, explainable, and compliant with BPM’s standards
- Embed AI tools and models into day-to-day operations and help stand up a brand-new AI-focused development team
- Shape team processes, tools, and standards and ensure solutions deliver real business value
Requirements
- Strong background in machine learning, data science, and applied AI
- Proficiency with Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools
- Experience building chatbots, copilots, or similar AI-driven automation
- Solid programming skills with Python
- Knowledge of MCP (Model Context Protocol) is a plus
- Experience preparing datasets and building ML pipelines
- Familiarity with product development lifecycles and agile delivery practices
- Security-conscious mindset with knowledge of data protection best practices
- Strong problem-solving skills and ability to translate business needs into AI solutions
- Excellent collaboration and communication skills to work across technical and non-technical teams
- Ability to explain complex AI concepts simply to stakeholders
- Bachelor's degree in a relevant field along with at least 5 years of related work experience
- Experience with cloud platforms (Azure preferred)
- Familiarity with OpenAI SDK, Azure AI SDK, LangChain, Pandas
- Knowledge of enterprise data governance, compliance, and responsible AI practices
- Prior experience in professional services (accounting, consulting, or similar) a plus
- Proficiency with SQL
- Able to work independently or in collaborative, cross-functional teams
