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ERM

AI Solutions Engineer

ERM

AI Solutions Engineer developing practical AI solutions for consulting delivery. Transforming manual processes into scalable systems for improved global sustainability consulting.

Posted 5/28/2026full-timeLausanne • 🇨🇭 SwitzerlandJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
JavaScriptPythonSQLTypeScript

About the role

Key responsibilities & impact
  • Turn real consulting challenges into working AI solutions used in live delivery
  • Build repeatable accelerators that scale impact across regions and sectors
  • Reduce manual effort and unlock higher‑value consulting time
  • Enable teams to adopt AI with confidence through hands‑on solutions, not theory
  • Influence how ERM operationalises responsible, enterprise‑ready AI at scale
  • Work directly with consulting teams to identify repeatable challenges and inefficiencies
  • Design and build AI‑enabled workflows, automations, dashboards, and micro‑applications
  • Develop reusable assets (prompts, templates, accelerators) for global deployment
  • Leverage LLMs and AI coding tools to rapidly prototype and iterate solutions
  • Translate business needs into practical, scalable technical solutions
  • Support adoption through demos, coaching, and hands‑on enablement
  • Evaluate when solutions should be scaled, standardised, or integrated into enterprise platforms
  • Ensure all solutions align with data governance and responsible AI principles
  • Contribute to AI Accelerator best practices and innovation pipelines

Requirements

What you’ll need
  • 2–5 years building digital, automation, or AI‑enabled solutions in a practical environment
  • Proven experience developing lightweight applications, workflows, or automation tools
  • Strong working knowledge of: Python, SQL, JavaScript/TypeScript, Low/no‑code tools (e.g. Power Platform, n8n, Streamlit)
  • Hands‑on use of AI development tools (e.g. ChatGPT, GitHub Copilot, Cursor, Claude)
  • Experience working with APIs, integrations, and workflow orchestration
  • Ability to translate ambiguous business problems into working technical solutions
  • Strong communication skills with the ability to work directly with non‑technical stakeholders
  • Comfortable operating in fast‑moving, loosely defined environments
  • Degree in Computer Science, Engineering, Data Science, or related field

Benefits

Comp & perks
  • Inclusive workplace where everyone feels valued, respected, and empowered
  • Tools, support, and adjustments needed to succeed
  • Ongoing development opportunities across a variety of subject areas

ATS Keywords

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Hard Skills & Tools
PythonSQLJavaScriptTypeScriptLow-code toolsNo-code toolsAI development toolsAPIsWorkflow orchestrationAutomation
Soft Skills
CommunicationProblem-solvingCollaborationCoachingAdaptabilityInfluencingHands-on enablementTranslating business needsWorking with non-technical stakeholdersOperating in fast-moving environments