Senior Professional Consultant, AI/Software Engineer

Freudenberg Group

. Build AI-enabled application components with Azure AI Foundry / Azure OpenAI, including RAG patterns, grounding strategies, and safe prompt designs .

Posted 9/29/2026full-timeNoida • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building AI-enabled applications using Azure AI Foundry and Microsoft Copilot Studio, with a strong focus on secure, scalable architectures and integration across Microsoft technologies. Proficient in developing backend services with JavaScript/TypeScript, C#, or Python, while applying cloud-native patterns and DevOps practices.

Highest-signal resume keywords

Azure AI FoundryMicrosoft Copilot StudioJavaScript/TypeScript DevelopmentCloud-Native Application ArchitectureCI/CD Pipelines

ATS Keywords

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Hard Skills

Prompt EngineeringAPI DevelopmentSecure-by-Design SolutionsEvent-Driven PatternsData Access ControlsApplication InsightsAzure MonitorPower BIGit WorkflowsScalable Architecture

Soft Skills

Stakeholder CollaborationRequirements TranslationIterative Feedback

Tools & Technologies

Microsoft GraphDataverseLogic AppsM365 ExtensibilityGitHub ActionsAzure OpenAI

Certifications & Qualifications

University Degree in Computer ScienceArtificial IntelligenceMachine Learning

Industry Keywords

AI PrinciplesRAG PatternsGrounding StrategiesConversational FlowsLifecycle Governance

Tech Stack

Tools & technologies

AzureCloudJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

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 integrations
Develop backend services and extensibility components using JavaScript/TypeScript, C#, or Python
Integrate solutions with Microsoft Graph, Dataverse, Microsoft Fabric, Logic Apps, and M365 extensibility such as Teams
Apply cloud-native and event-driven patterns, including stateless services, scalability, environment separation, and asynchronous messaging
Deliver secure end-to-end solutions covering authentication, authorization, lifecycle governance, and corporate data protection policies
Support DevOps and CI/CD for Copilot and AI assets through Git workflows, versioning, automated testing, GitHub Actions, and release management
Implement monitoring, telemetry, analytics, and performance optimization using Azure Application Insights, Azure Monitor, and Power BI
Apply Responsible AI practices, including testing, evaluation, guardrails, safety, and continuous improvement
Translate business requirements into scalable, secure, maintainable AI/Copilot architectures and produce design artifacts and implementation guidelines
Collaborate with product owners, architects, business stakeholders, data engineers, platform teams, and security teams
Provide documentation, best practices, handover, and enablement materials
Stay current with emerging technologies and industry trends and apply them to improve software engineering processes and technologies

Requirements

What you’ll need

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
Experience with Microsoft Copilot Studio, including conversational design, prompt engineering, orchestration flows, and plugin/action development
Practical implementation of Azure AI Foundry / Azure OpenAI, prompt optimization, RAG, grounding strategies, vector search, and safe production usage
Strong integration skills across Microsoft Graph, Microsoft Fabric, Dataverse, Logic Apps, and M365 extensibility, including Teams and Outlook
Experience designing and building APIs, custom connectors, and automation workflows
Secure-by-design AI solutions using Entra ID, RBAC, environment strategies, data access controls, and governance alignment
Hands-on development using JavaScript/TypeScript, C#, or Python, with clean architecture and scalable patterns
Cloud-native application architecture on Azure, including stateless services and event-driven patterns
Git-based development, CI/CD pipelines, automated testing, and environment separation using GitHub Enterprise Cloud
Experience with Application Insights, Azure Monitor, and analytics such as Power BI
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
Nice to have: Power Platform UI extensions (Power Apps)
Nice to have: FinOps-aware AI and application design
Nice to have: Experience with hybrid Azure–Fabric architectures

Benefits

Comp & perks

Equal opportunity employer committed to diversity and inclusion
Employment opportunities available without regard to protected characteristics