Azure AI Engineer, Consultant

What you’ll do:

• Produce innovative solutions for Avanade’s clients driven by exploratory data analysis from complex and high‑dimensional datasets, both structured and unstructured, applying advanced statistical, machine‑learning, and AI techniques.
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, find opportunities, pose business questions, and make valuable discoveries leading to better business decision‑making.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Communicate insights and deliver plans that steer business strategy and decision‑making for one or more business segments.
• Work with Avanade’s and client teams to translate prototypes into new products, services, and features and provide guidelines for large‑scale implementations.
• Engage in hands‑on coding to develop and implement AI models and solutions.

• 3–5 years of professional experience in applying machine learning, analysis, and modeling of large‑scale and complex data sets in industry scenarios.
• Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, simulation, and optimization algorithms.
• Proficient in one or more statistical modeling tools and cognitive analytics like text analytics, image recognition, video analytics, etc.; knowledge of applying models to enterprise use cases.
• Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc., and tools like Databricks, Azure ML, and Azure Cognitive Services.
• Must have experience with the Azure platform, including Azure ML, Azure Cognitive Services and Azure AI Search.
• Experience with Copilot Studio and/or Azure AI Foundry used in a RAG and/or Agentic workflow.
• Software engineering experience using Dev Ops principles (knowledge of Dev Ops workflows, Git, containers, CI/CD, etc.).
• Good communication and presentation skills. Able to explain complex analytical methodologies and concepts in non‑technical language to audiences at multiple skill levels.

• Experience with Microsoft Fabric, including data integration, data engineering, and data visualization capabilities.

You likely possess a degree in Applied Mathematics, Statistics, Engineering, or another relevant field in the industry. An equivalent combination of education and experience will also suffice. You likely have about 3–5 years of demonstrable experience across the advanced analytics space, preferably in a consulting environment or a combination of experience and relevant education.

California – $112,000‑$136,800
Cleveland – $100,000‑$118,750
Colorado – $100,000‑$118,750
District of Columbia – $115,200‑$136,800
Illinois – $112,000‑$133,000
Maryland – $115,200‑$136,800
Massachusetts – $115,200‑$136,800
Minnesota – $100,000‑$118,750
New York / New Jersey – $122,400‑$145,350
Washington – $115,200‑$136,800

Equal Employment Opportunity. All qualified applicants will receive consideration for employment.