AI Pre-sales Consultant
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Tasks
Data & AI Presales Leadership
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Lead Data, Analytics, AI and GenAI solutioning activities for strategic sales opportunities.
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Support opportunity qualification and discovery workshops with customers.
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Translate business problems into scalable technology and delivery solutions.
- Lead technical responses for RFPs, RFIs.
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Collaborate with sales teams in developing account growth strategies and opportunity pursuits.
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Represent Lingaro during customer workshops, executive presentations, architecture reviews and due diligence sessions.
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Coordinate contributions from SMEs, architects, engineers and consultants into a coherent customer solution.
Solution Architecture
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Design end-to-end AI architectures for AI/ML, GenAI and Agentic AI solutions.
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Define technology choices, delivery approaches, operating models and implementation roadmaps.
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Evaluate business requirements, technical constraints and investment priorities.
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Provide architecture leadership across Azure, GCP, Databricks and open-source ecosystems.
Industry & Domain Expertise
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Help customers identify and prioritize high-value AI and Analytics use cases.
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Advise customers on transformation opportunities in:
- Supply Chain
- Manufacturing
- Marketing
- Consumer & Customer Analytics
- Commercial Excellence
- Operations
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Translate business KPIs into measurable Data & AI initiatives.
Delivery & Technical Leadership
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Participate in strategic customer projects as Solution Architect, AI Advisor or Technical Lead.
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Support project teams during discovery, architecture design and critical delivery phases.
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Mentor delivery teams on architecture best practices and emerging technologies.
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Contribute to reusable frameworks, accelerators, demos and reference architectures.
Practice Development
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Support development of Lingaro 's Data & AI offerings and value propositions.
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Build thought leadership content and customer success stories.
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Monitor market trends, competitor offerings and emerging technologies.
Requirements
Essential
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8+ years of experience in Data, Analytics, AI, software consulting, solution architecture or technical presales.
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Strong presales experience in Data & AI services organizations.
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Proven track record supporting complex sales opportunities and winning consulting or technology engagements.
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Experience leading technical workstreams during RFP, RFI and proposal processes.
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Strong solution architecture skills and ability to design large-scale enterprise solutions.
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Hands-on experience with at least one major cloud platform:
- Microsoft Azure
- Google Cloud Platform
- AWS
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Practical experience with Databricks or modern data platform technologies.
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Understanding of modern AI landscape including:
- Machine Learning
- LLMs and Generative AI
- Multi-Agent Systems
- Knowledge Management
- MLOps / LLMOps
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Ability to connect business requirements with technical implementation approaches.
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Excellent workshop facilitation, presentation and storytelling skills.
- Fluent English (C1).
Nice to Have
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Experience in CPG, Retail, Manufacturing or Supply Chain industries.
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Experience with Microsoft Fabric, Snowflake, dbt, MLflow or similar technologies.
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Experience building AI transformation roadmaps.
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Experience working with global enterprise customers.
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Public speaking, thought leadership or conference presentation experience.
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Experience leading advisory engagements related to AI adopt