[Hiring] Senior AI Advisor @Lingaro

Role Description

As part of the DS/AI Consulting & Advisory team, you will combine expertise in AI delivery and consulting with a passion for innovation to help shape Lingaro’s AI strategy, service offerings, and business growth. Working alongside a team of highly skilled Data Scientists and AI Architects, you will drive AI adoption by identifying high-value use cases, leading proof-of-concept initiatives, and supporting the successful launch and scaling of AI solutions. This role balances strategic leadership and hands-on technical execution, with responsibilities spanning:

• Business development
• Presales
• Solution design
• Technology research
• Thought leadership
• Client-facing AI advisory and delivery engagements

₱0 - ₱0 semi monthly

What You'll Be Doing

• 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.

Qualifications

• 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).

What Will Set You Apart

• 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.