Sr Professional Consultant AI, Soft Engineer

Freudenberg Filtration; Dadri; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Freudenberg Filtration in India seeks an experienced AI/Copilot Engineer to design, build, and deploy Azure-based Copilot and AI-enabled components across enterprise platforms.

You will collaborate with product owners and data teams to translate business requirements into scalable, secure Copilot architectures, implement CI/CD, monitoring, and responsible AI practices.

Qualifications

• University degree in Computer Science or AI with strong AI principles.
• 5+ years in Data & AI roles; business knowledge optional.

Responsibilities

• Build AI-enabled components using Azure Foundry and OpenAI for RAG and prompts.
• Design Copilot solutions with Studio, including flows and plugins.
• Develop backend services and connectors using JS/TS, C#, or Python.
• Implement secure, compliant AI architectures with Entra ID/RBAC.
• Enable DevOps for AI with CI/CD, GitHub Actions, and testing.

Skills

Copilot Studio experience

Azure AI Foundry

Microsoft ecosystem integration

APIs & automation

Security fundamentals

JavaScript/TypeScript

C#

Python

Azure services

DevOps & CI/CD

Monitoring & Telemetry

Power BI

Education

University degree in Computer Science or AI

Tools

Azure OpenAI

Microsoft Graph

Dataverse

Logic Apps

Fabric

OneLake

Job description

• Build AI-enabled application components with Azure AI Foundry / Azure OpenAI, including RAG patterns, grounding strategies, and safe prompt designs.
• Design and implement Copilot solutions with Microsoft Copilot Studio, including conversational flows, prompt engineering, orchestration logic, plugins/actions, and required integrations.
• Develop backend services and extensibility components (APIs, custom connectors, automation) using JavaScript/TypeScript, C#, or Python; integrate with Microsoft Graph, Dataverse, Microsoft Fabric, Logic Apps, and M365 extensibility (eg, Teams).
• Apply cloud-native and event-driven patterns-stateless services, scalability, environment separation, and asynchronous messaging (eg, Azure Event Hubs).
• Deliver secure, end-to-end solutions covering authentication, authorization (Entra ID/RBAC/managed identities), environment strategies, lifecycle governance, and compliance with corporate data protection policies.
• Support DevOps and CI/CD for Copilot and AI assets: Git-based workflows, versioning, automated testing, GitHub Action pipelines, and environment promotion/release management.
• Implement monitoring, telemetry, analytics, and performance optimization using Azure Application Insights, Azure Monitor, and Power BI, ensuring reliability and continuous improvement.
• Apply Responsible AI practices - testing, evaluation, guardrails/safety, and continuous improvement of copilots and AI experiences.
• Translate business requirements into scalable, secure, and maintainable AI/Copilot architectures, producing design artifacts and implementation guidelines.
• Collaborate with product owners, architects, and business stakeholders; work with data engineers, platform, and security teams to deliver end-to-end solutions; provide documentation, best practices, and handover/enablement materials.
• Stay up to date with emerging technologies and industry trends and apply them to enhance software engineering processes and technologies for the organization s

Qualifications :

University degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong foundation in AI principles and methodologies or equivalent combination of education and experience

more than five years in Data & AI Jobs; Business knowledge: None

Must-Have Skills

• A. Copilot, AI & Microsoft Ecosystem Integration - Microsoft Copilot Studio Experience with conversational design, prompt engineering, orchestration flows, and plugin/action development.
• - Azure AI Foundry / Azure OpenAI solutions Practical implementation of prompt optimization, RAG, grounding strategies, vector search, and safe production usage
• - Microsoft ecosystem integration Strong integration skills across Microsoft Graph, Microsoft Fabric, Dataverse, Logic Apps, and M365 extensibility (Teams, Outlook).
• - APIs, connectors & automation Designing and building APIs, custom connectors, and automation workflows to extend Copilot and AI-driven solutions.
• - Responsible AI & security fundamentals Secure-by-design AI solutions using Entra ID, RBAC, environment strategies, data access controls, and governance alignment. B. Software Engineering, Platform & Delivery
• - Strong software engineering foundation Hands-on development using JavaScript/TypeScript, C#, or Python, with clean architecture and scalable patterns
• - Cloud-native application architecture on Azure Stateless services, event-driven patterns, and integration with Fabric / OneLake-based data platforms.
• - DevOps for AI and application solutions Git-based development, CI/CD pipelines, automated testing, and environment separation using GitHub Enterprise Cloud
• - Monitoring, telemetry & observability Use of Application Insights, Azure Monitor, and analytics (eg Power BI) to operate and improve AI-enabled solutions.
• - Business-facing solution delivery Ability to work with stakeholders, translate requirements into scalable Copilot and AI solutions, and iterate based on feedback. Nice to Have
• - Azure OpenAI fine-tuning and advanced vector search patterns - Power Platform UI extensions (Power Apps) - FinOps-aware AI and application design
• - Experience with hybrid Azure-Fabric architectures