Position Details

Type Not Specified

Experience senior

Exp. Years 10+ years

Education Bachelor's Degree plus at least 10 years of software development experience, or demonstrated equivalent experience and education

Category AI & Machine Learning

About this role

AECOM is hiring a Senior AI Developer to design and deploy cloud-native applications with AI embedded into business workflows. The role emphasizes hands-on development integrating LLMs, building RAG pipelines, and delivering enterprise-grade solutions using a modern full-stack stack.

Key Responsibilities

Build and scale full-stack applications using C#, .NET, Angular, REST APIs, and SQL Server
Design and implement AI solutions including RAG pipelines and LLM integrations
Leverage Azure AI services (Semantic Kernel, Kernel Memory, AI Foundry) to deliver intelligent features
Deploy and optimize cloud-native applications with a focus on performance, security, and cost
Mentor engineers and drive best practices in architecture, code quality, and delivery

Technical Overview

You will build full-stack apps with C#, .NET, Angular, REST APIs, and SQL Server, then add AI capabilities via Azure AI services including Semantic Kernel, Kernel Memory, and AI Foundry. The role includes deploying and optimizing production cloud-native applications with a focus on performance, security, and cost.

Ideal Candidate

The ideal candidate is a senior AI developer with 10+ years of software development experience, strong C#/.NET and full-stack skills, and hands-on experience building LLM-powered applications using RAG pipelines. They have Azure cloud experience and can deploy production-grade, secure, cost-conscious cloud-native systems while mentoring engineers.

Must-Have Skills

Senior AI DeveloperC#/.NETREST APIsSQL ServerAzure cloudLLMsRAG pipelinesRAG architectures

Nice-to-Have Skills

DockerCI/CD pipelinesAzure DevOpsGitHub Actionsembeddingsvector databasesprompt engineeringproduction AI systemsAI/ML concepts

Tools & Platforms

C#.NETAngularREST APIsSQL ServerMicrosoft AzureAzure AI servicesSemantic KernelKernel MemoryAI FoundryDockerCI/CDAzure DevOpsGitHub Actions

Required Skills

C#.NETAngularREST APIsSQL ServerAzure cloudSemantic KernelKernel MemoryAI FoundryLLMsRAG pipelinescloud-native applicationsDockerCI/CD pipelinesAzure DevOpsGitHub Actionsembeddingsvector databasesprompt engineering

Hard Skills

C#.NETAngularREST APIsSQL Serverdata modelingperformance tuningAzure clouddeploymentmonitoringtroubleshootingLLMsRAG pipelinesLLM integrationsRAG architecturesSemantic KernelKernel MemoryAI Foundrycloud-native applicationsperformancesecuritycost optimizationproduction deploymentsystem designcode qualityarchitecture

Soft Skills

hands-on engineeringmentor engineersdrive best practicespartner with cross-functional teamstranslate business needs into scalable systemssystem design to production deployment ownershipcollaboration

Industry & Role

Industry Consulting

Job Function Develop and productionize enterprise LLM and RAG-based AI applications on Azure

Role Subtype LLM Engineer

Tech Domains Azure, SQL / PostgreSQL, AI & Machine Learning, Docker, Cloud & Infrastructure

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Senior AI DeveloperAI DeveloperC#.NETAngularREST APIsSQL Serverdata modelingperformance tuningAzureAzure clouddeploymentmonitoringtroubleshootingLLMsRAG pipelinesRAG architecturesSemantic KernelKernel MemoryAI Foundrycloud-native applicationsproduction deploymentDockerCI/CD pipelinesAzure DevOpsGitHub Actionsembeddingsvector databasesprompt engineeringAI/ML

Deal Breakers

Bachelor's Degree plus at least 10 years of software development experience, or demonstrated equivalent experience and education, Hands-on experience with Azure cloud, Experience building AI-powered applications using LLMs and RAG architectures

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