AI Pre-sales Consultant

Job description

***Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.*** ### Tasks Data & AI Presales Leadership - Lead Data, Analytics, AI and GenAI solutioning activities for strategic sales opportunities. - Support opportunity qualification and discovery workshops with customers. - Translate business problems into scalable technology and delivery solutions. - Lead technical responses for RFPs, RFIs. - Collaborate with sales teams in developing account growth strategies and opportunity pursuits. - Represent Lingaro during customer workshops, executive presentations, architecture reviews and due diligence sessions. - Coordinate contributions from SMEs, architects, engineers and consultants into a coherent customer solution. Solution Architecture - Design end-to-end AI architectures for AI/ML, GenAI and Agentic AI solutions. - Define technology choices, delivery approaches, operating models and implementation roadmaps. - Evaluate business requirements, technical constraints and investment priorities. - Provide architecture leadership across Azure, GCP, Databricks and open-source ecosystems. Industry & Domain Expertise - Help customers identify and prioritize high-value AI and Analytics use cases. - Advise customers on transformation opportunities in: - Supply Chain - Manufacturing - Marketing - Consumer & Customer Analytics - Commercial Excellence - Operations - Translate business KPIs into measurable Data & AI initiatives. Delivery & Technical Leadership - Participate in strategic customer projects as Solution Architect, AI Advisor or Technical Lead. - Support project teams during discovery, architecture design and critical delivery phases. - Mentor delivery teams on architecture best practices and emerging technologies. - Contribute to reusable frameworks, accelerators, demos and reference architectures. Practice Development - Support development of Lingaro's Data & AI offerings and value propositions. - Build thought leadership content and customer success stories. - Monitor market trends, competitor offerings and emerging technologies. ### Requirements Essential