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.
This role sits at the intersection of artificial intelligence and robust enterprise integration. Define the technical blueprint for scaling AI adoption across the organization, focusing specifically on LLMs, RAG, and predictive analytics, while building the high-performance API and messaging backbones required to fuel these real-time systems.
Requirements
Job Description
- AI Strategy & Architecture: Define the technical blueprint and roadmap for enterprise AI adoption. Architect scalable frameworks for LLM integration, RAG, and predictive modeling, ensuring cost-efficiency, scalability, and ethical AI standards.
- Data Integration & APIs: Design high-performance, secure API services (RESTful, GraphQL) and event-driven architectures to connect disparate systems and power real-time AI applications.
- AI & Data Governance: Establish guardrails for data privacy, compliance, and security regarding AI training data, model inputs, and API access management.
- Cross-Functional Leadership: Collaborate with executive leadership, data scientists, and product teams to translate business goals into production-ready AI and integration strategies.
- 8+ years of experience in software architecture, system integration, or machine learning engineering, with at least 2-3 years dedicated to productionizing AI/LLM solutions.
- Preferred experience in Azure Databricks
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.
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
- 8+ years experience in software architecture, system integration, or machine learning engineering
- 2-3+ years productionizing AI/LLM solutions in production
- Architect scalable frameworks for LLM integration, RAG, and predictive modeling
- Design high-performance secure API services (RESTful, GraphQL)
- Design event-driven architectures and messaging backbones for real-time AI systems
- Establish AI and data governance, privacy, compliance, and API access controls
- Cross-functional leadership collaborating with executives, data scientists, and product teams
- Experience with Azure Databricks
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.
