AI Engineer
Posted Updated
Summary
AI Solutions Engineer role focused on delivering GenAI and agentic AI applications within a Forward Deployed Engineering model. You will partner with business units to identify opportunities and build solutions using Python, cloud platforms (AWS/Azure/GCP), and frameworks like LangChain or Amazon Bedrock, bridging the gap between technical development and business value.
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
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:
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
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
- 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
- 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