Azure AI Lead Engineer (San Francisco)

Tiger Analytics is looking for experienced Azure AI Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for :

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
• Creating Scalable Machine Learning systems .
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

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.

Job Description :

1. 8+ years of experience designing and leading the implementation of enterprise-scale AI and cloud-native applications

2. Expertise in designing robust, scalable, and secure multi-agent AI systems on the Azure platform

3. Deep, hands-on knowledge of Azure OpenAI, Azure Prompt Flow, Azure AI Search, and related services

4. Ability to guide the development team on best practices for AI, API design, and system integration

5. Ability to translate client's business objectives into a sound technical strategy and ensure the solution architecture supports long-term goals.

Benefits :

This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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.