AI Pre-sales Consultant

Description

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.