Azure AI Engineer, Sr Analyst

Avanade Company • Chicago, IL

2d • $76,000 - $110,200

About The Position

Avanade's AI Engineer role is responsible for developing scalable AI solutions aligned to a business strategy and benefits case. The role will be to work as part of a team to impact real world problems by delivering technical AI work. To be successful in this role you will need to be passionate about Data & AI, a continuous learner, and a strong team player. Come join us: As an AI Engineer, you will help clients understand and extract insight and value from their data using Microsoft AI technologies. Working as part of a team, you will be involved in all phases of AI projects including question/use case formulation, design, research, build, and testing. This role will explore and understand data to build advanced AI solutions. What you'll do: Customer readiness and onboarding, nominations review, and use case vetting processes Proof of Concept solution design and prototyping with AI technology, with a primary focus on AI capabilities like OCR, NLP, reasoning with LLMs, AI agents, and AI Search with traditional and vector DBs and a secondary focus on machine learning Produce solutions for clients working with both structured and unstructured data applying these AI capabilities Conduct customer satisfaction surveys and share key learnings, run customer engagement reports and project retrospective reports as well as provide summary for customer & logging product bugs with engineering team Provide facility tours, manage demo showcase, and process improvements Communicate insights to help steer business strategy and decision-making . Skills/ Experience: Demonstrable professional experience with build AI solutions over complex data sets (including data prep and ingestion) in industry scenarios Proficiency in building RAG/GraphRAG solutions powered by LLMs Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc. Azure AI services (including Azure AI Foundry, Azure OpenAI, Azure Cognitive Services, and Azure ML to support building out capabilities listed above) Software engineering experience using DevOps principals (Knowledge of DevOps 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. Bonus Skills: Preference for prior experience working and developing in Azure. About You: You likely possess a degree in Computer Science or Engineering or have experience in a relevant field in the industry. An equivalent combination of education and experience will also suffice. You likely have about 1-2 years+ of demonstrable experience building AI solutions, preferably in a consulting environment working directly with clients. Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted on 01/29/2026 and open for at least 30 days. Information on benefits is here. California - $88,000 - $104,500 Cleveland - $76,000 - $90,250 Colorado - $76,000 - $90,250 District of Columbia - $88,000 - $104,500 Illinois - $84,800 - $100,700 Maryland - $88,000 - $104,500 Massachusetts - $88,000 - $104,500 Minnesota - $76,000 - $90,250 New York / New Jersey - $92,800 - $110,200 Washington - $88,000 - $104,500 .

Requirements

• Demonstrable professional experience with build AI solutions over complex data sets (including data prep and ingestion) in industry scenarios
• Proficiency in building RAG/GraphRAG solutions powered by LLMs
• Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc.
• Azure AI services (including Azure AI Foundry, Azure OpenAI, Azure Cognitive Services, and Azure ML to support building out capabilities listed above)
• Software engineering experience using DevOps principals (Knowledge of DevOps 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.

Nice To Haves

• Preference for prior experience working and developing in Azure.

Responsibilities

• Customer readiness and onboarding, nominations review, and use case vetting processes
• Proof of Concept solution design and prototyping with AI technology, with a primary focus on AI capabilities like OCR, NLP, reasoning with LLMs, AI agents, and AI Search with traditional and vector DBs and a secondary focus on machine learning
• Produce solutions for clients working with both structured and unstructured data applying these AI capabilities
• Conduct customer satisfaction surveys and share key learnings, run customer engagement reports and project retrospective reports as well as provide summary for customer & logging product bugs with engineering team
• Provide facility tours, manage demo showcase, and process improvements
• Communicate insights to help steer business strategy and decision-making

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level