> Markdown version of [/jobs/ext/3868715-sr-azure-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3868715-sr-azure-ai-engineer). 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). --- # Sr Azure AI Engineer - **Company:** Addison Group - **Location:** Coppell, TX, United States - **Experience:** Expert - **Salary:** $145,600.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Continuous Integration, Machine Learning, NoSQL, Software Engineering, SQL Databases, ReactJS, Backend, Front End Software Development, Azure AI - **Published:** October 22, 2026 - **Apply:** https://www.thejobnetwork.com/job/9459b634-0b06-41e6-a216-e6cfe5c4bb61/sr-azure-ai-engineer ## About the Role * 6+ years of software engineering experience in enterprise or product environments * Strong backend development skills (C#, .NET, APIs) * Experience with cloud platforms, preferably Azure, and modern architecture patterns * Exposure to AI/ML or generative AI integration in real-world applications * Familiarity with front-end frameworks (React or similar) is a plus * Experience with SQL/NoSQL databases and CI/CD practices * Strong communication skills and ability to work cross-functionally ## Description We're looking for a senior engineer to help design and scale AI capabilities across a cloud-based application ecosystem. This role focuses on building the core platform, services, and standards that allow teams to integrate machine learning and generative AI into products in a secure, reliable, and scalable way., * Partner with product and business teams to identify high-impact use cases for automation, insights, and personalization * Build reusable components and frameworks to enable consistent AI adoption across engineering teams * Define best practices for architecture, security, and responsible AI usage * Evaluate emerging cloud AI tools and recommend adoption based on business value * Support and enhance production systems, improving performance, monitoring, and reliability * Contribute to documentation, standards, and mentoring to elevate engineering practices