Senior Applied AI Engineer Role Summary We are hiring a Senior Applied AI Engineer to help us find and deliver practical AI solutions across the company. This is a hands-on role that covers the full life of a project — from sitting down with business teams to understand a problem, to deciding whether and how AI can help, to building the solution, getting it into production, and making sure people actually use it. You will split your time between business-facing work and engineering. Some weeks that means running discovery sessions and mapping how a process works today; other weeks it means writing code or configuring a platform. We care more about solving the problem well than about which tool you used to solve it. You should be comfortable starting from a vague problem rather than a written spec — asking good questions, defining what success looks like, and moving the work forward without waiting to be told what to do next. What You Will Do Work with the business * Meet with business teams to find and prioritize problems where AI can genuinely help, and be honest about where it can't. * Run discovery sessions: ask good questions, map how the work gets done today, and pin down the actual problem before proposing anything. * Define what success looks like for each project, including the measures you will use to show it worked. * Turn rough ideas into clear problem statements, options, and plans that both leaders and engineers can act on. Design and build * Design and build AI solutions such as copilots, agents, retrieval-augmented generation (RAG) applications, and workflow automations on the platforms we use today, including Azure OpenAI, Claude, and Microsoft Copilot. * Pick the right approach for each problem, whether that's custom code (Python, JavaScript/TypeScript, C#) or configuration on platforms like Power Automate or Logic Apps. * Follow solid engineering practices: version control, testing, CI/CD, and evaluation of AI output quality. * Integrate what you build with our enterprise systems, data, and APIs, with security considered from the start. * Stay with each project through deployment, adoption, support, and improvement. You own the outcome, not just the code. Make it enterprise-ready * Work with our security, architecture, governance, and compliance teams to get solutions ready for production. * Weigh trade-offs like cost, performance, reliability, and maintainability, and explain them in plain business terms. * Set up monitoring and feedback loops, track whether the solution is being used and delivering value, and adjust based on what you learn. * Help teams adopt what you build through training, feedback sessions, and change support. Share what you know * Explain AI capabilities, limits, and risks clearly to technical and non-technical audiences alike. * Document your designs and decisions so others can support and build on your work. * Coach teammates, review designs, and contribute to shared patterns and standards as the team grows. What We Are Looking For
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