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 6,000 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 top-notch talent as we continue to build the best global analytics consulting team in the world.
Role Overview
The AI Engineer drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Azure as cloud. You will bridge the gap between AI research and production-grade cloud infrastructure.
You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Requirements
- Requirements Expertise: Proven track record of producing clear, precise, and structured requirement documents (PDD, SDD, User Stories).
- UiPath Familiarity: Working understanding of the UiPath ecosystem (Studio, Orchestrator, Document Understanding, Action Center).
- Azure AI & AI Concepts: Familiarity with Azure AI concepts
- Automation Engineering: Strong grasp of software automation principles, API integrations, software development lifecycle (SDLC) methodologies (Agile/Scrum), and system architecture basics.
- Process Mapping: Proficiency in process mapping tools (e.g., Microsoft Visio, Lucidchart, Signavio, or Bizagi).
- 7+ years of industry experience in software engineering, machine learning, or AI-focused roles.
- Strong hands-on experience with LangGraph and building agentic workflows.
- Proven experience in fine-tuning LLMs, including supervised fine-tuning and reinforcement learning-based methods.
- Strong background in experimental design, model evaluation, and statistical analysis.
- Demonstrated ability to reduce hallucinations using techniques beyond creative prompting.
- Proficiency in Python and experience with modern ML/AI frameworks.
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
- Proven experience producing clear, precise, structured requirements documents, including PDDs, SDDs, and user stories.
- Working understanding of the UiPath ecosystem, including Studio, Orchestrator, Document Understanding, and Action Center.
- Familiarity with Azure AI concepts.
- Strong understanding of software automation principles, API integrations, SDLC methodologies, Agile/Scrum, and system architecture fundamentals.
- Proficiency with process mapping tools such as Microsoft Visio, Lucidchart, Signavio, or Bizagi.
- At least 7 years of industry experience in software engineering, machine learning, or AI-focused roles.
- Strong hands-on experience with LangGraph and agentic workflow development.
- Experience fine-tuning LLMs using supervised fine-tuning and reinforcement learning-based methods.
- Strong background in experimental design, model evaluation, and statistical analysis.
- Ability to reduce AI hallucinations using techniques beyond creative prompting.
- Proficiency in Python and experience with modern machine learning or AI frameworks.
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.
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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.
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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.
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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
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.
