AI Engineer ( Data & AI Practice )

About the Role Key Responsibilities AI Solution Development

• Design, develop, and deploy scalable AI, Machine Learning, and Generative AI solutions.

• Build intelligent applications leveraging LLMs, RAG frameworks, AI Agents, and cloud-native architectures.

• Develop enterprise AI solutions focused on automation, knowledge management, and business transformation.

AI Engineering & Integration

• Build AI-powered applications, APIs, and intelligent workflows.

• Integrate AI solutions with Microsoft 365, Power Platform, Dynamics 365, SharePoint, Teams, and other enterprise platforms.

• Develop secure and scalable integrations with internal and external systems.

Data Engineering & MLOps

• Design AI-ready data pipelines and data processing frameworks.

• Implement end-to-end MLOps practices including model training, deployment, monitoring, and optimization.

• Ensure scalability, reliability, and cost efficiency of AI workloads.

Cloud, Security & Governance

• Develop and deploy AI solutions on Microsoft Azure.

• Ensure adherence to Responsible AI principles, security standards, governance frameworks, and compliance requirements.

• Optimize cloud infrastructure for performance, scalability, and availability.

Leadership & Collaboration

• Collaborate with architects, data engineers, developers, and business stakeholders.

• Provide technical leadership, mentor engineering teams, and conduct code reviews.

• Drive engineering best practices and innovation initiatives.

Innovation

• Evaluate emerging AI technologies, frameworks, and trends.

• Recommend and implement innovative approaches to enhance organizational AI capabilities.

Required Technical Skills AI & Generative AI

• Large Language Models (LLMs) and Foundation Models

• Retrieval Augmented Generation (RAG)

• Agentic AI and Multi-Agent Systems

• Prompt Engineering and Prompt Optimization

• AI Copilot Development

• Fine-tuning, Model Evaluation, Guardrails, and Responsible AI

• Embeddings, Semantic Search, Vector Databases, and Knowledge Retrieval

• NLP, Deep Learning, and Applied Machine Learning

Programming & Application Development

• Python (Mandatory)

• FastAPI, Flask, and API Development

• LangChain, LlamaIndex, Semantic Kernel, AutoGen/CrewAI

• Microservices Architecture

• REST APIs and Event-Driven Integrations

• Git, Unit Testing, and Secure Coding Practices

• C#/.NET (Good to Have)

Microsoft AI & Cloud Stack

• Azure OpenAI Service

• Azure AI Foundry

• Azure AI Search

• Azure Machine Learning

• Azure Functions

• Azure Kubernetes Service (AKS)

• Azure API Management

• Microsoft Fabric

• Experience deploying enterprise AI workloads on Azure

Data Engineering & Knowledge Systems

• SQL, PostgreSQL, Azure SQL

• Databricks and Delta Lake

• NoSQL Databases

• Data Modeling and Data Pipelines

• Vector Databases (Pinecone, Qdrant, ChromaDB, FAISS)

• Knowledge Graphs and Graph Databases (Good to Have)

MLOps, LLMOps & DevOps

• MLflow and Model Lifecycle Management

• Docker and Kubernetes

• CI/CD using Azure DevOps or GitHub Actions

• Model Monitoring and Observability

• Infrastructure as Code (Terraform/Bicep)

• LLMOps, Prompt Versioning, Evaluation Frameworks, and Governance

Enterprise Integration & Security

• Microsoft Graph API

• Microsoft 365, SharePoint, Teams

• Power Platform and Dynamics 365

• Microsoft Entra ID

• OAuth, OpenID Connect, and Enterprise Authentication

• Enterprise System Integration and API Management

• Security, Compliance, Responsible AI, and Data Governance

Nice-to-Have Skills

• Microsoft Copilot Studio

• Custom Copilot Development

• Multi-modal AI (Text, Vision, Audio)

• Computer Vision

• Speech AI

• AI-powered Automation

• Event-Driven Architecture

• IoT and Edge AI Solutions

Experience Requirements Education

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.