> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Sr AI Solution Engineer

Canonical URL: https://nextmove.md/fde/jobs/415cbe9c2d92d0c6

Monster Energy posts a senior FDE role to build for teams inside the company in Corona, CA, at $131,250–$175,000 base, below the senior FDE median of $190,000 across 1,876 postings with pay. Leads embedded AI engagements across business units, taking use cases from discovery and value sizing through production deployment and measurable results. Read from the employer’s posting on November 11, 2026.

- [Monster Energy](https://nextmove.md/fde/companies/monster-energy)

Posted Nov 11, 2026 by Monster Energy · open on Greenhouse as of Nov 11, 2026

**$131,250–$175,000** Corona, CA

Leads embedded AI engagements across business units, taking use cases from discovery and value sizing through production deployment and measurable results.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F415cbe9c2d92d0c6&placement=top)
- [View posting at Monster Energy](https://job-boards.greenhouse.io/monsterenergy/jobs/4469928009)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$131K–$175K Below the median

Midpoint $153K · median $190K

This job $131K to $175K. Senior FDE postings, 1,876 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **3+ years** building AI-enabled apps, enterprise automations, or business-facing software in solutions engineering or development roles
- **1+ years** leading end-to-end delivery of production generative AI solutions, including stakeholder ownership, evaluation, and responsible AI review

Background

- **Software engineering**
- **Solutions and customer engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 1+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Corona, CA. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Corona, CA

- **Pay**:

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## The job description from Monster Energy

Posted by Monster Energy on Nov 11, 2026

### 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 Platform / Power Automate, MuleSoft / Workato, Salesforce Flow; Zapier for quick pilots
- Data: Microsoft Fabric, Power BI, SQL
- Languages: TypeScript/JavaScript and Python
- DevOps / collaboration: Git, CI/CD, Cursor or Claude Code, work tracking (Azure DevOps / Jira), documentation (Confluence / SharePoint)
- Telemetry: Application Insights / Log Analytics or equivalent; Copilot Studio and Foundry evaluations
- Preferred Certifications: Microsoft AI-103: Developing AI Apps and Agents on Azure (replaces the retired AI-102 / Azure AI Engineer Associate)
- Microsoft Power Platform Developer Associate
- Salesforce Platform Developer I or Agentforce Specialist (for Sales-heavy rotations)
- Workato / MuleSoft integration certification; Responsible AI / governance training aligned to internal standards

Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location.

Pay Range

$131,250—$175,000 USD

Monster Energy uses AI-powered tools, including Greenhouse’s Talent Matching feature, to help evaluate applications for this role. To learn more see Monster’s privacy policy here Privacy Policy or contact Monster at privacy@monsterenergy.com.

For United States applicants:
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Read our privacy policy here: Privacy Policy

[View posting at Monster Energy](https://job-boards.greenhouse.io/monsterenergy/jobs/4469928009)

## About Monster Energy

Markets energy drinks across original, zero-sugar, coffee, juice, and recovery lines, with global brand marketing built around sports, music, and events.

Acquired · 5000+ people

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