A pioneering enterprise AI start-up is seeking a Data Engineering focused Consultant to help build the future of AI in business. The focus is on putting AI into practice, developing tools and platforms that enable businesses to harness AI for transformative results.

About the Team

The growing team is global, with a bold vision and a significant impact. With substantial seed funding secured, they are assembling a team of passionate, forward-thinking individuals to shape the future of the company.

Role Overview

The platform is a game-changer, and the Data and AI Consultant will be the key to unlocking its full potential for clients. This role acts as the bridge between cutting-edge AI technology and real-world business challenges. The consultant’s expertise, insights, and ability to connect the dots will guide customers towards becoming data-centric, AI-powered organisations.

Key Responsibilities

• AI Advisor: Serve as the trusted AI advisor for customers, guiding them through the complex world of enterprise AI.
• Business Analysis: Deep dive into customer businesses to uncover pain points, identify opportunities, and design tailored AI strategies that deliver measurable results. Build strong relationships with key stakeholders, becoming their go-to expert for all things AI.
• Consultative Engagements: Lead discovery sessions, conduct interviews, and create comprehensive reports that outline clear roadmaps for AI adoption.
• Strategic Design: Craft AI and data strategies that align with customers' unique goals and challenges.
• Feasibility Studies: Assess the viability of AI projects and build compelling business cases for investment.
• Thought Leadership: Share expertise through engaging blog posts, whitepapers, webinars, and conference presentations.

Qualifications

• AI Advocate: Passionate about AI and its transformative potential, with a deep understanding of the machine learning ecosystem and its business applications.
• Data & AI Savvy: Firm grasp of modern data architectures, AI pipelines, governance approaches, and best practices.
• Strategic Thinker: Excel at mapping business pain points and opportunities to technology solutions and operational changes.
• Client Whisperer: Exceptional communication and stakeholder management skills, able to convey complex ideas clearly and maintain strong engagement.
• Pragmatic Practitioner: Hands-on experience with data science and analytics, either in a consulting role or within an operational/product team, with a successful track record across the ML lifecycle.

Preferred Experience

• Familiarity with popular data, AI, and analytics platforms (e.g., Microsoft Azure, Amazon Web Services, Databricks).
• Proficiency in relevant languages and tools (e.g., MLFlow, Python, LangChain, Pinecone).