Forward Deployed Engineer - Azure Databricks and Azure AI Foundry

Acunor is seeking a hands-on Forward Deployed Engineer (FDE) to work directly with client teams and deliver enterprise Azure data platforms supporting analytics, machine learning, and Generative AI., * Work directly with business and technical stakeholders to understand use cases, data readiness, security requirements, and acceptance criteria.

• Design, develop, and optimize Azure Databricks lakehouse pipelines using PySpark, Spark SQL, and Delta Lake.
• Build ingestion pipelines for structured and unstructured data.
• Orchestrate data workflows using Azure Data Factory.
• Integrate enterprise data and knowledge repositories with Azure AI Foundry and Azure AI Services.
• Support training datasets, retrieval pipelines, embeddings, and RAG workflows.
• Collaborate with AI engineers and data scientists on enterprise AI solutions.
• Demonstrate working solutions to clients, incorporate feedback, and troubleshoot implementation issues.
• Resolve issues involving data ingestion, access controls, retrieval, and deployment.
• Own production readiness, including data quality, monitoring, security, governance, and CI/CD.
• Manage deployment, operational handoff, and end-to-end technical delivery.

Microsoft Windows Azure, Artificial Intelligence (AI), Artificial Intelligence (AI), Microsoft Windows Azure, Machine Learning, Team Player, Data Analysis, Engineering, Technical/Engineering Design, Customer Relations, The ideal candidate will combine strong Azure Databricks engineering skills with Azure AI Foundry integration experience and client-facing delivery capabilities. This role requires ownership of the complete delivery lifecycle, from business discovery and technical design through development, deployment, and production handoff., * 8 10 years of relevant experience in data engineering, Azure platforms, or AI engineering.

• Strong client-facing experience delivering data or AI implementations.
• Hands-on experience with Azure Databricks, Python, SQL, PySpark, Spark SQL, and Delta Lake.
• Experience with ADLS Gen2, Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
• Hands-on experience integrating enterprise data with Azure AI Foundry or supporting Azure AI Services.
• Working knowledge of Azure OpenAI, LLMs, RAG, embeddings, vector retrieval, and prompt engineering.
• Understanding of AI model lifecycle management and monitoring.
• Experience with Azure Storage, Key Vault, Azure Monitor, Azure Functions, and Logic Apps.
• Experience with Azure DevOps, Git, CI/CD, and Infrastructure as Code.
• Understanding of data privacy, AI governance, and Responsible AI.
• Strong technical communication, problem-solving, and stakeholder management skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, IT, or a related field.