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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer II - **Company:** Rackspace - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $78,074.0 - $114,546.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Information Engineering, Data Integration, DevOps, Python (Programming Language), Knowledge Management, Machine Learning, Performance Tuning, Software Engineering, Software Organization, Google Cloud, Enterprise Software Applications, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Git, Kubernetes, Information Technology, Automation Anywhere, Docker - **Published:** June 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4b6d03269c072a41 ## About the Role Do you have experience in Python?, Do you have a Master's degree?, * Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, or related field. Masters preferred. * 2-4 years of experience in software engineering, data engineering, cloud engineering, AI/ML, or related technical disciplines. * Exposure to customer-facing projects, consulting engagements, or technical support roles preferred. * Working knowledge of Python and modern software development practices. * Familiarity with AI/ML concepts, large language models (LLMs), prompt engineering, or generative AI technologies. * Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud. * Exposure to DevOps tools and practices including Git, Docker, CI/CD pipelines, or Kubernetes. * Strong analytical, problem-solving, communication, and documentation skills. * Ability to work collaboratively in a fast-paced environment and adapt to changing customer requirements. * Willingness to travel occasionally for customer engagements (up to 25%). ## Description As a Forward Deployed Engineer II at Rackspace Technology, you will work closely with enterprise customers and internal teams to support the design, development, and deployment of AI-powered solutions. This role provides an opportunity to build hands-on experience across AI engineering, data integration, and customer engagement while learning from senior architects and engineers. You will assist in translating customer business requirements into technical solutions and contribute throughout the solution lifecycle, from discovery and prototyping to deployment and optimization., * Participate in customer discovery sessions to understand business challenges, use cases, and data requirements. * Support the design and implementation of AI solutions under the guidance of senior engineers and architects. * Assist in developing proof-of-concepts (POCs) and prototypes to demonstrate business value. * Contribute to the development of AI workflows, retrieval-augmented generation (RAG) solutions, and knowledge management applications. * Help build and maintain data pipelines for structured and unstructured data sources. * Assist with model evaluation, testing, tuning, and performance optimization activities. * Support integration efforts across enterprise systems such as CRM, ERP, databases, and cloud platforms. * Create and maintain technical documentation, architecture diagrams, and deployment guides. * Participate in solution testing, troubleshooting, and production support activities. * Collaborate with cross-functional teams including platform engineering, product management, and delivery organizations. * Conduct technical research on emerging AI technologies, tools, and best practices. * Build relationships with customer technical teams and provide technical updates during project execution. * Contribute to internal knowledge sharing, reusable assets, and process improvements. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Robots are coming into the wild! 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