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