monsterenergy · USA - Corona, CA
Skills: TypeScript, JavaScript, Python, SQL, CI/CD
About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: In the position of Sr. AI Solution Engineer, you will lead the AI SWAT team's embedded engagements with business units, owning the path from opportunity to production artificial intelligence (AI) agent and the business results that follow. Rotating across Sales, Accounting/Finance, Marketing, Legal/HR, and Supply Chain/Operations, set the technical approach for each engagement, design and build the most complex solutions using Microsoft Copilot Studio, Microsoft Foundry, OpenAI and Claude models, Agentforce, and Microsoft Fabric data, and decide when to configure, build, or buy. Mentor and review the work of the AI Engineer, partner with the AI Architect and AI Data Engineer on reusable patterns, and report value realized to business leaders and the AI Steering Committee. The Impact You'll Make: Engagement Leadership & Use-Case Portfolio — Lead embedded engagements with business-unit leaders; run discovery, ride-alongs, process mapping, and value sizing; own a prioritized portfolio of AI use cases per business unit with baselines, target key performance indicators (KPIs), and business cases. Solution Design & Technical Approach — Set the technical approach for each solution: choose the platform (Microsoft Copilot / Copilot Studio, Microsoft Foundry / Azure OpenAI, Salesforce Agentforce, SAP Joule) and model (e.g., OpenAI GPT-5.6, Claude Sonnet 5.5 or Opus 5.5), design multi-step and multi-agent workflows with human-in-the-loop controls…
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