Azure AI Engineer
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 4, 2026.
About Saarthee:
Saarthee is Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. That’s why we call ourselves Saarthee-inspired by the Sanskrit ‘Saarthi’, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.
Position Summary:
We are looking for an Azure AI Engineer with strong expertise in building Generative AI and Agentic AI solutions on the Microsoft Azure ecosystem. The ideal candidate should have hands-on experience with Azure AI Foundry, Azure OpenAI, RAG, vector databases, and Python-based AI application development. Strong problem-solving skills and experience building scalable AI solutions are essential.
Your Role Responsibilities and Duties:
- Design, develop, and deploy AI applications using Azure AI Foundry, Azure OpenAI, and Azure Machine Learning.
- Build Agentic AI solutions for autonomous workflows and enterprise automation.
- Develop Retrieval-Augmented Generation (RAG) applications using Azure AI Search and vector databases.
- Design prompt engineering, orchestration, and tool-calling workflows for LLM applications.
- Build scalable APIs, microservices, and cloud-native AI solutions on Azure.
- Integrate AI solutions with enterprise applications, databases, and external systems.
- Monitor, optimize, and improve AI model performance, latency, and operational efficiency.
- Collaborate with cross-functional teams to deliver secure and scalable AI solutions.
Required Skills and Qualifications:
- BE/B.Tech or Master's degree in Computer Science or related field.
- 4-6 years of software development experience with strong Azure cloud expertise.
- Strong programming skills in Python.
- Hands-on experience with Azure OpenAI, Azure AI Foundry, Azure Machine Learning, and Azure AI Search.
- Experience with Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and Vector Databases.
- Knowledge of REST APIs, Microservices, Containers, and Cloud-native Architecture.
- Experience with Git, Azure DevOps, and CI/CD pipelines.
- Strong analytical, problem-solving, and communication skills.