AI Solutions Engineer

What if your ability to build with AI could directly transform how global sustainability challenges are solved? At ERM, this isn’t experimental work on the sidelines — this is embedding AI into the core of consulting delivery , at scale, across industries and geographies. We’re hiring AI Solutions Engineers to join our global AI Accelerator team — a small, high‑impact group building practical, deployable solutions that consulting teams actually use. If you are someone who moves quickly from idea to working solution, and care about real‑world impact over proof‑of‑concepts, this role is built for you. Why This Role Matters Sustainability consulting is evolving rapidly — but delivery models are still catching up. This role exists to close that gap. You will help redefine how work gets done by embedding AI into real workflows — turning manual, fragmented processes into scalable, intelligent delivery systems . Your work won’t sit in a lab — it will be adopted across global projects, teams, and clients . What Your Impact Is 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 What You'll Bring · Required 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, or 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 · Preferred Experience in consulting or client‑facing delivery environments Exposure to sustainability, ESG, EHS, or operational reporting workflows Familiarity with: LangChain / LangGraph / LLM orchestration frameworks Cloud platforms ( Azure, AWS, GCP, Azure OpenAI ) Power BI, Tableau , or similar tools

Understanding of responsible AI, governance, and data protection principles Experience building reusable solutions adopted across teams or regions Key Responsibilities 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

Where You’ll Work Global opportunities across: North America | Continental Europe | India | LATAM