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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Microsoft - **Location:** Redmond, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Microsoft Online Services, C Sharp (Programming Language), C++ (Programming Language), Cloud Engineering, Computer Programming, Continuous Integration, Extract Transform Load (ETL), Distributed Systems, Python (Programming Language), Machine Learning, Systems Integration, Management of Software Versions, AI Infrastructure, Data Processing, Large Language Models, Containerization, Information Technology, Code Testing, Data Analytics, Machine Learning Operations, Data Pipelines - **Published:** June 23, 2026 - **Apply:** https://www.dice.com/job-detail/8b035b97-ff73-4caa-bce4-88d5639d06a4 ## About the Role * Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: * Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter., * Experience building, deploying, or contributing to AI/ML systems, including machine learning models, LLM-based applications, RAG architectures, agentic workflows, or other data-driven solutions. * Demonstrated programming skills in Python or similar languages for AI development, data processing, system integration, and automation. * Knowledge of machine learning fundamentals, statistics, optimization, and data processing techniques. * Experience developing and operating scalable data pipelines, distributed systems, or cloud-based AI/ML workloads. * Familiarity with MLOps practices such as CI/CD, model deployment, monitoring, versioning, containerization, and AI lifecycle management. * Experience working with modern AI technologies, including LLMs, vector databases, retrieval systems, and related AI frameworks and tools. * Problem-solving skills, curiosity, and the ability to learn quickly, navigate ambiguity, and deliver solutions in rapidly evolving technology environments. ## Description * Design, build, and improve AI-powered solutions, including machine learning models, LLM-based applications, RAG systems, and agentic workflows that solve customer and business challenges. * Develop and operate scalable data pipelines, ETL processes, training datasets, and AI infrastructure to support model development, deployment, and lifecycle management. * Deploy, monitor, and optimize AI systems using MLOps practices, leveraging telemetry and feedback to improve performance, reliability, security, and scalability. * Transform large-scale, multi-source data into contextual intelligence, automation, and decision-support capabilities that drive customer and business outcomes. * Build and integrate AI capabilities into applications, services, APIs, and platforms to deliver end-to-end customer experiences. * Contribute to AI readiness initiatives through frameworks, metrics, telemetry, and solutions that help customers securely adopt and operationalize AI technologies. * Demonstrate a builder mindset by rapidly prototyping, experimenting, and iterating on AI solutions while navigating ambiguity and evolving requirements. * Partner across engineering, data science, product, and customer teams to translate complex problems into practical, AI-driven solutions. * Write maintainable, well-tested code and contribute to engineering excellence through documentation, operational rigor, governance, and adherence to security, compliance, and Responsible AI practices. * Embody our culture and values. ## Related Videos - [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Are you still programming unit tests or already generating?](https://www.wearedevelopers.com/videos/722-are-you-still-programming-unit-tests-or-already-generating) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Will AI replace Software Engineers?](https://www.wearedevelopers.com/magazine/340-will-ai-replace-software-engineers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)