AI Solutions Engineer

Posted Yesterday
2 Locations
In-Office or Remote
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
Lead modernization of enterprise reporting and migrate legacy BI to cloud platforms. Architect and embed agentic AI workflows to automate reporting and insights. Build and optimize data pipelines on AWS, develop Power BI dashboards, ensure data governance and security, and mentor cross-functional teams on modern BI and AI adoption.
Summary Generated by Built In

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.

Skills Required

  • 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 including dashboarding, DAX, and data modeling
  • Proven experience in BI modernization and migration projects
  • Experience developing and optimizing data pipelines and integrations using AWS services
  • Strong understanding of enterprise reporting architecture
  • Experience with Tableau
  • Experience with IBM Cognos
  • Experience with Alteryx

Tiger Analytics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.

  • Fair & Transparent Compensation Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
  • Healthcare Strength Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
  • Leave & Time Off Breadth Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.

Tiger Analytics Insights

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The Company
HQ: Santa Clara, CA
5,000 Employees
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.

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