> Markdown version of [/jobs/ext/1710666-ai-engineer-advanced-solutions-lab-google-cloud](https://www.wearedevelopers.com/jobs/ext/1710666-ai-engineer-advanced-solutions-lab-google-cloud). 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). --- # AI Engineer, Advanced Solutions Lab, Google Cloud - **Company:** Google LLC - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $152,000.0 - $222,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Business Analytics Applications, C++ (Programming Language), Extract Transform Load (ETL), Data Warehousing, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Google Cloud, Apache Spark, Generative AI, Keras, Scikit Learn, Information Technology, Apache Beam, Programming Languages - **Published:** July 14, 2026 - **Apply:** https://dejobs.org/x/x/4665A747E9C64384B3FC80637E4FF65E/job/ ## About the Role Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. * 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). * 3 years of experience building production artificial intelligence (AI) and machine learning (ML) models or agentic solutions models for use cases (e.g., tabular data, images, video, speech, and unstructured text) with TensorFlow, Keras, JAX, Spark ML, or Scikit Learn. * Experience conducting data and machine learning (ML) technical training in a client-facing technical consulting role. * Experience architecting cloud solutions on Google Cloud Platform or other public cloud models., * Master's degree or PhD in Computer Science, Mathematics, or other quantitative field, or equivalent practical experience. * Experience in machine learning (ML). * Experience working in a technology area. * Experience taking on new material and delivering it to clients and students. * Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Hive). ## Description The AI Engineer role within the Advanced Solutions Lab (ASL) focuses on delivering and evolving a sophisticated Machine Learning and Generative AI curriculum for global participants. Operating in an immersive environment, you will work directly with customers to apply innovative AI solutions to high-impact business challenges and specific industry use cases. You will lead the daily educational journey for participants while continuously improving the program by integrating internal Google expertise and recommending the best open-source frameworks and models. Beyond these core duties, you will actively participate in the broader Google ML community through research collaboration, engineering projects, and strategic initiatives that shape the future of AI., * Drive the Advanced Solutions Lab by delivering content, identifying machine learning (ML) experts across Google to support specific sessions, and providing ongoing curriculum enhancements. * Lead and support customers' machine learning projects from framing to implementation in the Advanced Solutions Lab. * Design artificial intelligence (AI)/machine learning (ML) curriculum by analyzing market trends and customer needs, developing materials in collaboration with cross-functional Google experts. * Stay abreast of machine learning developments and network across the Google Cloud research community to provide Advanced Solutions Lab participants with up-to-date knowledge and opportunities for engagements with other machine learning experts. * Serve as a machine learning subject matter expert for Google Cloud Consulting, supporting activities like client-facing services, intellectual property (IP) development, public speaking, and running machine learning bootcamps. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [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) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Unboxing the DeepFace](https://www.wearedevelopers.com/videos/335-unboxing-the-deepface) ## Related Articles - [Got AI ideas but no money? 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