Key responsibilities include: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the 'technical win' by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop 'Scopes of Work' by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideal candidate will have: Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organisations. Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to have: GenAI Experience Forward deployed engineering experience Machine Learning Experience

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