Define the technical blueprint and roadmap for enterprise AI adoption.
Architect scalable frameworks for LLM integration, RAG, and predictive modeling.
Design high-performance, secure API services (RESTful, GraphQL) and event-driven architectures.
Establish guardrails for data privacy, compliance, and security regarding AI training and model inputs.
Collaborate with executive leadership, data scientists, and product teams to translate business goals into production-ready strategies.
GraphQLRESTful APIsLLM
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About Tiger Analytics
Tiger Analytics pioneers how AI and analytics solve tough business problems. You will work with Fortune 1000 companies to transform their data into measurable business value. Their full-stack AI and analytics services span data science, machine learning, and data engineering. They create bespoke solutions for diverse industries like CPG, retail, and healthcare. Tiger Analytics is recognized by top market research firms like Forrester and Gartner.
How We Work
Tiger Analytics values open communication and a supportive environment. You will find a high focus on employee well-being and professional growth. While remote options are available, there's a growing emphasis on in-office collaboration. This creates a balanced environment for deep work and team connection. You will work within a recognized "Great Place to Work-Certified" organization.
Engineering at Tiger Analytics
You will build and deploy cutting-edge AI and analytics solutions. This includes developing generative AI models, LLMs, and MLOps frameworks. Engineers tackle challenges in large-scale data ecosystems and multi-cloud environments. You will work with technologies like Databricks, Python, AWS, Azure, and GCP. The team uses vector databases, IaC (Terraform), and process automation tools like Camunda. You will craft scalable and resilient data solutions for complex client needs.
Why Join Us
Drive measurable business impact for Fortune 1000 companies.
Solve complex problems using the latest AI and analytics technologies.
Experience significant career development in a fast-growing, entrepreneurial environment.
Enjoy a high degree of individual responsibility and autonomy.
Collaborate with a global team of data science and AI experts.