Senior AI Software Engineer – LLM Applications (Azure) at AECOM2

We’re hiring a Senior AI Software Engineer to design and build enterprise-grade AI applications powered by modern LLM architectures and Azure cloud technologies. This role sits at the intersection of full-stack engineering and applied AI, focused on delivering scalable, production-ready systems using tools like Semantic Kernel, Kernel Memory, and Retrieval Augmented Generation (RAG). You’ll be building an internal, enterprise LLM-powered chat platform used across the organization, delivering real-world AI solutions at scale, not prototypes. This role requires a pragmatic, solution-oriented mindset, strong communication across teams, and the ability to thrive in fast-paced environments while pushing forward modern AI capabilities. This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX. Key Responsibilities Build & Deliver • Develop scalable applications using C#, .NET, REST APIs, and Angular • Design and optimize SQL Server data models, queries, and performance • Write secure, maintainable, production-quality code with a focus on balancing speed and qualityAI Engineering • Design and implement RAG pipelines and LLM-powered workflows • Integrate multiple LLMs into enterprise applications • Build and deploy agentic AI solutions • Leverage Azure AI services (Semantic Kernel, Kernel Memory, AI Foundry) • Contribute to evolving architectures such as Model Context Protocol (MCP) and multi-model orchestrationCloud & Systems • Deploy and operate applications in Azure with a focus on reliability, scalability, and cost efficiency • Contribute to system design, architecture, and performance optimizationCollaboration • Partner with architects and engineers in an Agile environment • Translate business needs into scalable technical solutions and clearly communicate trade-offs to both technical and non-technical stakeholdersInnovation • Evaluate and adopt emerging AI and GenAI technologies • Continuously improve engineering practices across design, development, and delivery • Bring a passion for AI and cloud-native development into day-to-day work