AI Solutions Engineer

Company: Tiger Analytics

Location: United States (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-29

About this role

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,200 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an AI Solutions Engineer to lead the modernization of enterprise reporting, drive migration to modern BI platforms, and embed agentic AI workflows into business intelligence solutions. This role combines deep BI expertise with hands-on experience in AI-driven automation, helping organizations transition from legacy reporting systems to intelligent, scalable analytics platforms.

Requirements

  • Design, build, and implement enterprise-grade BI and reporting solutions on modern platforms
  • Lead migration initiatives from legacy BI tools to modern cloud-based analytics environments
  • Architect and embed agentic AI workflows to automate reporting, insights generation, and decision-making processes
  • Work closely with stakeholders to gather requirements and translate business needs into scalable technical solutions
  • Develop and optimize data pipelines and integrations using AWS services
  • Build interactive dashboards and reports using Power BI (PBI)
  • Collaborate with cross-functional teams including data engineering, analytics, and business stakeholders
  • Ensure data governance, security, and best practices across BI and AI implementations
  • Provide technical guidance and mentorship on modern BI and agentic AI adoption

Required Skills

  • 7+ years of relevant experience in BI, data analytics, and/or AI-driven solutions engineering.
  • Strong hands-on experience with Agentic AI frameworks and implementation
  • Proficiency in AWS (cloud infrastructure, data services, ...

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