Sr AI Solution Engineer

monsterenergy; Corona (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

Monster Energy is seeking a Sr. AI Solution Engineer to lead embedded AI engagements across diverse business units, from opportunity discovery to production AI agents that deliver measurable business results.

You will set technical approaches, design multi-agent workflows, and mentor the AI team while reporting value to leadership. Expect collaboration with AI architects and data engineers to scale reusable patterns and ensure Responsible AI governance.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Artificial Intelligence, or related; Master’s preferred.
• 3–5 years of experience building AI-enabled apps, enterprise automations, or business-facing software in solutions engineering or development roles.
• 1–3 years of experience leading delivery of production generative AI solutions end to end, including stakeholder ownership, evaluation, and responsible AI review.
• Proficiency with AI platforms: Microsoft Copilot, Foundry, Azure OpenAI; familiarity with Agent frameworks and integration patterns.

Responsibilities

• Lead embedded AI engagements with business-unit leaders; conduct discovery, value sizing, and establish a prioritized use-case portfolio.
• Set technical approaches and model selections for each solution; recommend configure-build-buy choices.
• Personally build and ship complex agents and automations using LLMs and tool-calling; ensure CI/CD readiness.
• Define evaluation strategies, security, privacy, and responsible AI reviews for production-ready solutions.
• Mentor engineers, review deliverables, and contribute to engineering standards and playbooks.
• Communicate designs, trade-offs, and realized value to directors and VPs; track KPIs and cost reductions in BI tools.
• Drive adoption and change management to sustain solutions in steady-state operations.
• Create reusable templates, prompts, and patterns to scale the platform across teams.

Skills

Leadership

AI solution engineering

Stakeholder management

Executive communication

Education

Bachelor's degree in CS/IS/AI

Master's degree preferred

Tools

Microsoft Copilot Studio

Microsoft Foundry

Azure OpenAI/OpenAI models

Salesforce Agentforce

SAP Joule

Claude tool calling / Claude Code

Cursor

Job description

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, and make configure-build-buy recommendations within the AI Architect's standards.

Build Complex Production Agents - Personally build and ship the most complex agents and automations, including custom code with OpenAI / Azure OpenAI and Claude tool calling, agent frameworks, Model Context Protocol (MCP) tools across Salesforce and SAP, retrieval over Microsoft Fabric and SharePoint content, and Continuous Integration / Continuous Delivery (CI/CD); use Cursor or Claude Code to accelerate delivery.

Evaluation Strategy & Production Readiness - Define evaluation strategy and acceptance criteria (accuracy, groundedness, safety, cost per task); approve production readiness; lead Responsible AI (RAI), security, privacy, and legal reviews for team solutions.

Mentorship & Quality Review - Mentor the AI Engineer; review prompts, code, flows, and evaluation results; set team delivery standards, estimates, and engagement playbooks.

Executive Communication & Value Realization - Present solution designs, trade-offs, and results to directors and vice presidents; track and report value realized (hours returned, cycle time, quality, adoption, cost) in Power BI to business leaders and the AI Steering Committee.

Adoption & Change Leadership - Lead adoption and workflow redesign with process owners; plan rollout, training, and support handoff so solutions are sustained in steady-state operations.

Pattern Contribution & Platform Feedback - Turn proven solutions into reusable agent templates, prompt libraries, MCP tools, and workflow templates; bring platform and data requirements to the AI Architect and AI Data Engineer and help shape team standards.

Who You Are:

Prefer a Bachelor's Degree in the field of Computer Science, Information Systems, Artificial Intelligence, or related; Master's degree (MS) in a related field preferred.

3-5 years of experience in building AI-enabled apps, enterprise automations, or business-facing software in solutions engineering or development roles

1-3 years of experience in leading delivery of production generative AI solutions (copilots, agents, LLM-powered workflows) end to end, including stakeholder ownership, evaluation, and responsible AI review

Computer Skills Desired: AI platforms: Microsoft Copilot / Graph / Copilot Studio, Microsoft Foundry / Azure OpenAI, Salesforce Agentforce; familiarity with SAP Joule

Additional Knowledge or Skills to be Successful in this role: Trusted advisor to business leaders who can lead an engagement independently; strong facilitation, storytelling, and executive presence; product mindset focused on adoption and measurable outcomes; coaches the AI Engineer and raises team quality.

Models: OpenAI GPT-5.6 / GPT-6, Anthropic Claude Opus 5.5 / Sonnet 5.5 / Haiku 5.5, Google Gemini 3.1 Pro; OpenAI and Claude tool calling, Model Context Protocol (MCP), RAG, prompt and context engineering

Agent frameworks: LangChain, Semantic Kernel, or equivalent

Integration / automation: Power Platfo