> Markdown version of [/jobs/ext/1707726-senior-azure-generative-ai-engineer-local-to](https://www.wearedevelopers.com/jobs/ext/1707726-senior-azure-generative-ai-engineer-local-to). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Azure Generative AI Engineer - Local to - **Company:** CGI Technologies and Solutions, Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $69,700.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Software Applications, Microsoft Azure, Information Engineering, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Azure Machine Learning, Search Technologies, Software Engineering, Anaconda, Enterprise Software Applications, Data Ingestion, Azure Data Factory, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Git, Microsoft Fabric, Containerization, AI Platforms, Kubernetes, HuggingFace, Machine Learning Operations, Restful APIs, Azure Synapse Analytics, Data Pipelines, Docker, Databricks - **Published:** July 7, 2026 - **Apply:** https://www.juju.com/job/00000000gejrf5 ## About the Role 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. . Experience delivering enterprise cloud solutions within regulated industries such as banking or financial services is highly preferred. Technical Skills . 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. . Familiarity with Git, Azure DevOps, and container technologies (Docker/Kubernetes) is preferred. . Strong understanding of AI governance, responsible AI, and model security, + Agile + Communication + Data Engineering + Data Engineering + Generative AI + Microsoft Azure AI Solution + Python (Anaconda) AI/ML ## Description This role will require someone in our client office five days a week in Dallas, TX., We are 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. The successful candidate will work closely with business stakeholders, architects, and engineering teams to deliver AI powered solutions for enterprise and banking use cases. Your future duties and 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. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)