Role Overview:
We are seeking a highly motivated and skilled Azure AI Engineer with a strong background in data science, Natural
Language Processing (NLP), and/or Computer Vision. In this role, you will be responsible for building and deploying
advanced AI and Generative AI solutions on Microsoft Azure using deep learning and machine learning techniques
to solve complex problems. Your expertise in NLP or Computer Vision, combined with hands-on Azure AI
experience, will be instrumental in enhancing our AI-driven solutions.
Key Responsibilities & Skillsets:
Design and deploy sophisticated agentic workflows using Azure AI Foundry Agent Service and frameworks
like Semantic Kernel, AutoGen, or LangGraph.
Work with large datasets to extract insights, build predictive models, and optimize AI algorithms.
Architect "fail-safe" systems that include human-in-the-loop (HITL) triggers, automated error recovery,
and fallback logic to ensure business continuity.
Implement and optimize RAG (Retrieval-Augmented Generation) pipelines using Vector Embeddings,
Vector Caching, and Azure AI Search (vector and hybrid retrieval).
Utilize Model Context Protocol (MCP) to connect AI agents with external data sources, tools, and existing
Azure and on-premises environments.
Mitigate data leakage risks and implement rigorous model output traceability and auditability logs to
meet compliance standards.
Research and stay up-to-date with the latest advancements in Gen AI to apply innovative solutions.
Communicate findings and results to non-technical stakeholders and provide actionable insights.
Build automated monitoring for agentic flow performance, cost, and latency,
utilizing Azure Monitor, Application Insights, and custom telemetry.
Ensure data privacy, responsible AI and security practices are upheld
throughout the AI development process, leveraging Azure AI Content Safety,
Entra ID and Microsoft Purview.
Candidate Profile:
A Master's or Ph.D. in a related field, such as Computer Science, Data Science, or a similar discipline.
Strong experience in data science and Gen AI agentic solution development and deployment on Microsoft
Azure.
Proficiency in Python, Azure Database for PostgreSQL, Git and vector databases (Azure AI Search, Cosmos
DB).
Expert-level proficiency in Azure OpenAI Service / Azure AI Foundry, Azure Machine Learning, and Azure
Functions.
Deep understanding of Graph Networks (Azure Cosmos DB Gremlin API / GraphRAG) and their application
in enhancing agent reasoning and RAG accuracy.
Excellent problem-solving skills and the ability to work on complex AI projects.
Strong communication skills to convey technical concepts to non-technical team members.
Experience with frameworks and tools such as - PyTorch, LangChain, Semantic Kernel, AutoGen, Azure
DevOps and GitHub Actions.
Knowledge of data preprocessing, PDF processing, RAG evaluation and CI/CD pipeline.
Azure certifications (AI-102, DP-100) and familiarity with big data technologies such as Azure Databricks,
Synapse or Microsoft Fabric are a plus.