We're partnering with a leading enterprise embarking on a significant AI transformation initiative.
As part of a newly established operating model, we're seeking multiple AI Solutions Engineers to work directly with business units, identify high-value opportunities and deliver practical AI-enabled outcomes.
This is not a traditional AI engineering role. You'll operate in a Forward Deployed Engineering style environment, combining stakeholder engagement, solution design and hands-on development to drive tangible business value.
Working closely with business leaders, you'll help shape use cases, select the right technologies and build solutions ranging from low-code automation through to sophisticated GenAI and agentic AI applications.
Key Responsibilities
- Partner with business stakeholders to understand challenges and identify AI opportunities
- Design and deliver AI-enabled solutions aligned to business outcomes
- Develop GenAI, automation and agentic AI capabilities using modern cloud platforms
- Build proof-of-concepts and production-ready solutions
- Translate complex business requirements into scalable technical solutions
- Evaluate and utilise the most appropriate tools for each use case, from low-code/no-code through to custom development
- Contribute to establishing best practices, frameworks and repeatable delivery patterns
- Collaborate closely with AI engineers, data scientists and technical leaders
About You
You will bring a blend of technical capability and commercial awareness, with the ability to engage stakeholders while remaining hands-on.
Ideally you'll have experience with:
- Strong software engineering background, preferably Python
- Experience delivering GenAI or LLM-based solutions
- AI orchestration, automation or agentic workflow development
- Cloud platforms such as AWS, Azure or GCP
- Solution design and business-facing stakeholder engagement
- End-to-end delivery experience from ideation through to production
- Strong communication and consulting skills
Nice to Have
- Amazon Bedrock experience
- LangChain, LangGraph or similar frameworks
- RAG implementation experience
- AI governance, adoption or enablement experience
- Exposure to low-code/no-code automation platforms
What's on Offer
- Opportunity to help shape a new AI capability from the ground up
- Work on genuine business-critical AI initiatives
- Direct engagement with senior business stakeholders
- High-impact environment focused on outcomes rather than experimentation
- Collaborative team of AI engineers, data scientists and technical leaders
If you're passionate about applying AI to solve real business problems and enjoy working at the intersection of technology and stakeholder engagement, we'd love to hear from you.