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AI Solutions Engineer

Summary

Designs and migrates enterprise BI systems to modern cloud platforms, embeds agentic AI workflows, and builds Power BI dashboards for Fortune 1000 clients.

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, deployment)
  • Advanced expertise in Power BI (PBI) – dashboarding, DAX, data modeling
  • Proven experience in BI modernization and migration projects
  • Strong understanding of enterprise reporting architecture

Good to Have

  • Experience with Tableau
  • Experience with IBM Cognos
  • Experience with Alteryx (data preparation/ETL)

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

What this application asks

workable

First name, Last name, Email, Headline, Phone, Photo, Education, Experience, Summary, Resume

  • What kind of US work authorization do you have in the United States (resident, visa)? Please provide details.
  • What is your current location? Are you willing to relocate?
  • This position is for a full-time W2 role with Tiger Analytics. We can also consider a Contract-to-Hire arrangement, but not C2C. Would you be open to either of these employment options? yes / no
  • Do you have 7+ years of industry experience in BI, data analytics, or AI-driven solutions engineering? yes / no
  • Describe your hands-on experience building or implementing Agentic AI workflows.
  • What AWS services have you used for data engineering, integration, or deployment in your BI/analytics projects?
  • Detail your experience with Power BI, including dashboard development, DAX, and data modeling.
  • Please share a direct link to your LinkedIn profile. written answer

See also