AI Solutions Engineer
Role details
Job location
Tech stack
Job description
- 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
Do you have experience in Tableau?, Do you have a Master's degree?, * 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