AI Technical Consultant
About the Role
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Join us and embark on a career where you can help shape the future of our industry through innovation in audit, tax, and consulting services.
Responsibilities
- Engage in the exploration and evaluation of early-stage data, ensuring the integrity and applicability for model development.
- Document findings and provide strategic recommendations to business stakeholders, outlining potential paths forward, technological capabilities, and relevant limitations.
- Demonstrate the viability of potential solutions and seek to disprove assumptions through data exploration, experimentation, and lightweight Proof of Concept buildout.
- Actively engage in professional learning within the constantly evolving AI landscape, with an emphasis on the Microsoft ecosystem.
- Engage with your team to derive realistic effort estimates, embracing the iterative nature of early-stage AI development.
- Participate in ethical, risk, and security discussions to ensure all solutions meet Crowe’s high standards.
- Facilitate meetings with business stakeholders to refine project objectives and demonstrate preliminary results.
- Ensure a seamless transition of validated concepts to the AI Development team for full-scale implementation.
- Actively contribute to the professional growth and development of your team members via code review and coaching.
Essential Job Functions
- Data Collection & Exploration: Executes basic data ingestion and cleansing tasks, following prescribed methods. Assists in initial data exploration to validate source quality and relevance for AI use cases.
- Support AI Model Prototyping: Helps senior team members test simple machine learning or AI scripts using existing frameworks or notebooks (e.g., Python, R). Logs issues or anomalies discovered during experiments; escalates them to more senior resources.
- Documentation & Version Control: Maintains technical documentation of data pipelines, experiment settings, and preliminary results. Adheres to version control best practices (Git or similar tools) for code and configuration changes.
- Environment Configuration: Configures basic development environments or sandbox settings under direction (e.g., provisioning cloud resource templates in Azure or AWS). Applies standard security and compliance settings, following firm guidelines.
- Research & Tool Familiarization: Learns core AI tools and services (e.g., Microsoft Azure AI components, relevant ML libraries). Keeps notes on new data sets or environmental changes that may impact solution scalability.
Requirements
- Minimum of 1-2 years of experience in software development, with a focus on Microsoft technologies and AI solutions.
- Proficiency in Microsoft Power Platform, including Power Apps and Power Automate.
- Proficiency in .NET, C#, SQL, Python, and JavaScript.
- Familiarity with scripting languages (Python, R, etc.) or data query tools (SQL).
- Basic understanding of version control systems (Git) and cloud fundamentals (Azure).
- Introductory credentials (e.g., Microsoft Certified: Azure AI Fundamentals) may be encouraged.
Skills
- Comfortable executing assigned tasks when provided guidance by your Technical Lead and/or team members; you proactively request help when needed and collaborate effectively.
- Knowledge of AI/ML frameworks and tools.
- Ability to communicate technical concepts clearly to non-technical or unfamiliar audiences, both written and verbal; you support the creation of client-facing deliverables and documentation.
- Conduct thorough testing and debugging of applications to ensure they meet the required performance and quality standards.
- Create and maintain technical documentation for developed solutions, including user guides, technical specifications, and process documentation.
- Uphold Crowe’s values of Care, Trust, Courage, and Stewardship.
Preferred Skills
- Experience with Azure services, particularly Azure AI, Machine Learning, and Cognitive Services.
- Certifications in Microsoft technologies (e.g., Azure AI Engineer Associate, Power Platform Solution Architect).
- Hands-on experience with Dynamics 365 and its integration with Power Platform.
- Expertise in prompt engineering and familiarity with tools like Enterprise ChatGPT, Microsoft Copilot, and Azure AI Studio.
- Experience with DevOps practices and tools within the Microsoft environment.
- Previous experience in a professional services environment.
- Background in business analysis, with a knack for translating business needs into technical requirements.
- Familiarity with Agile methodologies and tools.
- Familiarity with the software development lifecycle and AI Ops best practices.
- Enjoy sharing what you learn, whether by offering cross-training opportunities, giving internal team “lightning talks,” or by writing detailed comments on tickets when you close them.
- Stay current with AI advancements; likely subscribed to newsletters or podcasts about AI topics.
Pay
A reasonable estimate of the current range is $62,000 - $100,000 per year. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
Benefits
At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package.