Senior Data & AI Engineer (Azure, Machine Learning)
evorait
| Company | evorait |
| Category | Engineering |
| Location | IN_Bangalore |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 14 Apr 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (personio) |
Description
Evora is an international system integrator with focus on mobile and user experience (UX). We are a trusted partner for innovative digital maintenance and service solutions for global and regional customers in Europe, North America, Asia & Pacific. As SAP Gold Partner, Service Now Specialist and Click partner (by Salesforce), we offer consulting services, software development, quality assurance services and system integration based on standard components and products, as well as support & application management. By implementing best-practice solutions while optimizing their processes, we help our customers to be successful in tomorrow's world. The wisdom, knowledge, and experience of Evora employees at implementing complex workforce management solutions is what sets us apart. We look for the best to hire and to keep. The attractive combination of high-value consulting services with a competitively priced remote development team has proven to be successful in projects worldwide. With a solid growth, currently 450+ Evorians are working in offices in India, US, Brazil, Germany, Austria and Spain. As a trusted partner for data-driven transformation, we help enterprise customers design, build, and operate modern data platforms, business intelligence solutions, and AI-powered applications across the Microsoft ecosystem. Our team of experienced consultants and engineers delivers end-to-end solutions spanning Microsoft Fabric, Azure Synapse Analytics, Azure Databricks, Power BI, Azure AI Foundry, and Power Platform. With a strong commitment to quality, innovation, and customer proximity, Evora (Connect) combines deep technical expertise with strategic advisory to empower organisations on their digital journey. Minimum 5+ years of experience in data engineering, with proven expertise in building AI solutions using Microsoft Foundry (2+ years), and Microsoft AI SDKs (2+ years) including Azure AI Search (2+ years). (advantage with Microsoft Certifications: AI-102, AI-200, AB-730) Solid understanding of RAG architectures, vector databases, embedding models. Proven experience designing and deploying agentic AI systems using frameworks such as Microsoft Agent Framework, Semantic Kernel, AutoGen, and / or LangChain. Strong proficiency in Python, and/or SQL. Familiarity with Microsoft Fabric, Databricks, or similar data platforms is a strong advantage. Knowledge of Azure Infrastructure (advantage with Microsoft Certification: AZ-305). Knowledge of Azure DevOps (advantage with Microsoft Certification: AZ-400). Exposure to Azure IaC (e.g. Terraform, Bicep) is considered a plus. Strong analytical thinking and structured, solution-oriented approach to problem-solving. Self-starter with the ability to work independently and proactively. Excellent communication and collaboration skills, with a high level of customer orientation and service mindset. Architect, build, and optimize AI agents and agentic workflows using Microsoft AI Foundry, Microsoft Agent Framework and Azure Logic Apps, with a focus on Cloud Adoption Framework and Well-Architected Review. Architect end-to-end AI solutions including knowledge retrieval, and orchestration layers integrated with enterprise data sources. Build, test, and publish agents to M365 Copilot and other Microsoft channels, managing authentication, RBAC, and deployment lifecycle. Develop integration workflows connecting AI agents with productivity tools, and custom APIs using Function Apps, Azure Logic Apps and Power Automate. Stay current with the rapidly evolving Microsoft AI ecosystem and evaluate emerging capabilities (e.g. Copilot Studio, Foundry SDK, multi-agent patterns) for client applicability. Collaborate closely with the sales team to present architecture concepts, solution scenarios, and demos to clients and win new projects. Represent Evora (Connect) as a thought leader by conducting workshops, publishing expert content, speaking at conferences, and actively shap
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