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 ResponsibilitiesBuild &amp; Deliver<ul><li>Develop scalable applications using C#, .NET, REST APIs, and Angular</li><li>Design and optimize SQL Server data models, queries, and performance</li><li>Write secure, maintainable, production-quality code with a focus on balancing speed and quality</li></ul>AI Engineering<ul><li>Design and implement RAG pipelines and LLM-powered workflows</li><li>Integrate multiple LLMs into enterprise applications</li><li>Build and deploy agentic AI solutions</li><li>Leverage Azure AI services (Semantic Kernel, Kernel Memory, AI Foundry)</li><li>Contribute to evolving architectures such as Model Context Protocol (MCP) and multi-model orchestration</li></ul>Cloud &amp; Systems<ul><li>Deploy and operate applications in Azure with a focus on reliability, scalability, and cost efficiency</li><li>Contribute to system design, architecture, and performance optimization</li></ul>Collaboration<ul><li>Partner with architects and engineers in an Agile environment</li><li>Translate business needs into scalable technical solutions and clearly communicate trade-offs to both technical and non-technical stakeholders</li></ul>Innovation<ul><li>Evaluate and adopt emerging AI and GenAI technologies</li><li>Continuously improve engineering practices across design, development, and delivery</li><li>Bring a passion for AI and cloud-native development into day-to-day work</li></ul>

AECOM is the world&rsquo;s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle &ndash; from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM.

Senior AI Software Engineer – LLM Applications (Azure)

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 ResponsibilitiesBuild &amp; Deliver<ul><li>Develop scalable applications using C#, .NET, REST APIs, and Angular</li><li>Design and optimize SQL Server data models, queries, and performance</li><li>Write secure, maintainable, production-quality code with a focus on balancing speed and quality</li></ul>AI Engineering<ul><li>Design and implement RAG pipelines and LLM-powered workflows</li><li>Integrate multiple LLMs into enterprise applications</li><li>Build and deploy agentic AI solutions</li><li>Leverage Azure AI services (Semantic Kernel, Kernel Memory, AI Foundry)</li><li>Contribute to evolving architectures such as Model Context Protocol (MCP) and multi-model orchestration</li></ul>Cloud &amp; Systems<ul><li>Deploy and operate applications in Azure with a focus on reliability, scalability, and cost efficiency</li><li>Contribute to system design, architecture, and performance optimization</li></ul>Collaboration<ul><li>Partner with architects and engineers in an Agile environment</li><li>Translate business needs into scalable technical solutions and clearly communicate trade-offs to both technical and non-technical stakeholders</li></ul>Innovation<ul><li>Evaluate and adopt emerging AI and GenAI technologies</li><li>Continuously improve engineering practices across design, development, and delivery</li><li>Bring a passion for AI and cloud-native development into day-to-day work</li></ul>

Senior AI Software Engineer – LLM Applications (Azure)

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AECOM

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