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Senior AI Engineer Azure & Copilot Location: Bangalore, India (On-site NOT WFH) Company: Alpha Variance Solutions (AVS) About AVS Alpha Variance Solutions (AVS) is a Microsoft-focused global systems integrator specializing in AI-enabled ERP and finance transformation. We support enterprise clients across the US, Germany, Philippines, and India, working within the Microsoft ecosystem to modernize finance and operations. As we expand our Copilot and Azure AI capabilities, we are seeking a Senior AI Engineer to join our Bangalore team and help build enterprise-grade AI solutions integrated with ERP platforms. Role Overview We are looking for a hands-on AI engineer with strong Azure experience to design, build, and deploy intelligent Copilot-driven solutions for enterprise finance and operations use cases. This is a technical delivery-focused role, working closely with architects, ERP consultants, and global client teams. Key Responsibilities AI & Model Development Develop and fine-tune AI/ML and generative AI models using Azure Machine LearningBuild Copilot agents using Azure OpenAI ServiceImplement prompt engineering and retrieval-augmented generation (RAG) solutionsOptimize models for accuracy, latency, and cost efficiency Azure Integration Deploy AI solutions using Azure OpenAI, Azure AI Studio, and Cognitive ServicesBuild scalable pipelines in AzureIntegrate Copilot agents with enterprise systems (ERP, databases, APIs)Ensure enterprise-grade security and compliance Data & MLOps Prepare and manage structured and unstructured datasetsImplement vector search and semantic retrievalSupport CI/CD and MLOps practices for model lifecycle managementMonitor performance and continuously improve deployed solutions Collaboration Work with ERP functional teams on finance-focused AI use casesSupport solution demos and proof-of-conceptsCollaborate with global delivery teams across US, Germany, and PhilippinesRequired Skills & Qualifications Technical Strong proficiency in PythonExperience with PyTorch, TensorFlow, or similar frameworksHands-on experience with Azure Machine LearningExperience using Azure OpenAI ServiceStrong understanding of LLMs, prompt engineering, and generative AICloud & DevOps Experience with Azure DevOps and CI/CD pipelinesFamiliarity with Docker or containerizationUnderstanding of MLOps practicesExperience 47 years of AI/ML development experienceAt least 2 years working with Azure-based AI solutionsExperience integrating AI with enterprise systems preferredWhy Join AVS Work on real enterprise AI use cases (finance, AR, reconciliation, forecasting)Exposure to global clientsMicrosoft-aligned AI ecosystemHigh-growth AI practice within a global ERP organization .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.