AI Pre-sales Consultant

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 

• 8+ years of experience in Data, Analytics, AI, software consulting, solution architecture or technical presales. 

• Strong presales experience in Data & AI services organizations. 

• Proven track record supporting complex sales opportunities and winning consulting or technology engagements. 

• Experience leading technical workstreams during RFP, RFI and proposal processes. 

• Strong solution architecture skills and ability to design large-scale enterprise solutions. 

• Hands-on experience with at least one major cloud platform: 

• Microsoft Azure 

• Google Cloud Platform 

• AWS 

• Practical experience with Databricks or modern data platform technologies. 

• Understanding of modern AI landscape including: 

• Machine Learning 

• LLMs and Generative AI 

• Multi-Agent Systems 

• Knowledge Management 

• MLOps / LLMOps 

• Ability to connect business requirements with technical implementation approaches. 

• Excellent workshop facilitation, presentation and storytelling skills. 

• Fluent English (C1). 

Nice to Have 

• Experience in CPG, Retail, Manufacturing or Supply Chain industries. 

• Experience with Microsoft Fabric, Snowflake, dbt, MLflow or similar technologies. 

• Experience building AI transformation roadmaps. 

• Experience working with global enterprise customers. 

• Public speaking, thought leadership or conference presentation experience. 

• Experience leading advisory engagements related to AI adoption, architecture, governance or transformation. 

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.