Senior Azure Generative AI Engineer

Orchard • Dallas, TX

20d • Onsite

About The Position

Dallas TX @Orchard LLC is seeking a Senior Azure Generative AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions using Microsoft Azure. This role will focus on building scalable AI applications leveraging Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, Azure Cognitive Services, and modern data engineering practices. As the Senior Gen AI Engineer, you will work closely with business stakeholders, architects, and engineering teams to deliver AI-powered solutions for enterprise and banking use cases.

Requirements

• Minimum 6+ years of software engineering, data engineering, or AI/ML development experience.
• Minimum 3+ years of hands-on experience developing solutions on Microsoft Azure.
• Minimum 2+ years of hands-on experience building Generative AI or Large Language Model (LLM) applications.
• Strong experience with Azure OpenAI Service.
• Hands-on experience with Azure AI Foundry (formerly Azure AI Studio).
• Experience with Azure Machine Learning and Azure Cognitive Services.
• Strong understanding of Retrieval Augmented Generation (RAG) architecture.
• Experience with vector databases such as Azure AI Search, Pinecone, Weaviate, or similar technologies.
• Strong Python programming skills.
• Experience with LangChain, LangGraph, Semantic Kernel, or similar GenAI orchestration frameworks.
• Experience with PyTorch, Hugging Face Transformers, or similar ML frameworks.
• Experience building scalable data pipelines using Azure Data Factory, Synapse, Microsoft Fabric, Databricks, or Spark.
• Understanding of prompt engineering, model evaluation, fine-tuning, embeddings, and LLM optimization.
• Experience with CI/CD pipelines and MLOps/LLMOps practices.
• Strong understanding of AI governance, responsible AI, and model security.

Nice To Haves

• Experience delivering enterprise cloud solutions within regulated industries such as banking or financial services is highly preferred.
• Familiarity with Git, Azure DevOps, and container technologies (Docker/Kubernetes) is preferred.

Responsibilities

• Design, develop, and deploy enterprise Generative AI solutions using Microsoft Azure AI services.
• Build AI-powered applications utilizing Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, and Azure Cognitive Services.
• Design and implement Retrieval Augmented Generation (RAG) solutions using Azure AI Search and vector databases.
• Develop scalable data ingestion, transformation, and preprocessing pipelines to support AI model training and inference.
• Fine-tune, evaluate, and optimize Large Language Models (LLMs) for enterprise-specific use cases.
• Collaborate with solution architects, data engineers, and business stakeholders to define AI solution architectures and implementation strategies.
• Integrate AI services into enterprise applications using REST APIs, Python, and Azure cloud services.
• Implement MLOps and LLMOps best practices for model deployment, monitoring, governance, and lifecycle management.
• Ensure AI solutions comply with enterprise security, responsible AI, and regulatory requirements, particularly within the banking and financial services domain.
• Troubleshoot production AI solutions and continuously improve model accuracy, performance, scalability, and cost optimization.
• Stay current with emerging Azure AI capabilities and recommend innovative approaches to improve business outcomes.

Benefits

• Compensation ranges are determined by several factors, including skill set, experience, licensure and certifications, and location. The anticipated range for a base salary for this role is between $95-115K. There may be some flexibility for exceptionally qualified individuals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed