Lead Engineer - Agentic AI

Tiger Analytics is looking for experienced Lead Engineer — Agentic AI 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 an experienced  Lead Engineer — Agentic AI  to partner with business stakeholders and end users in conceptualizing, developing, and governing enterprise-grade AI agents. This role will provide strategic and technical oversight for AI agent builds across various business units, ensuring quality, security, and compliance with internal guardrails.

• Collaborate with business teams to design, develop, and deploy AI agents that drive efficiency and innovation.
• Provide guidance and technical oversight to users and teams building agents, ensuring alignment with enterprise standards.
• Develop, test, and maintain AI agents using tools such as Gemini Enterprise, Agentforce, Sierra.AI, DevRev, and other emerging platforms.
• Monitor production agents; troubleshoot and resolve performance or functionality issues as they arise.
• Conduct comprehensive security and functionality testing prior to production release.
• Develop and enforce policies, guidelines, and guardrails for AI and agent testing.
• Serve as a subject matter expert (SME) for AI strategy, brainstorming, and implementation ideas across business functions.
• Stay current on emerging AI technologies and recommend best practices for enterprise adoption.

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field; advanced degree preferred.
• 6 years of experience in AI solution development or intelligent automation, with hands-on exposure to LLM-driven or agentic systems.
• Proven experience working with platforms such as Gemini Enterprise, Agentforce, Sierra.AI, or DevRev.
• Strong understanding of AI security, governance, and testing frameworks.
• Excellent communication and stakeholder management skills, capable of translating complex AI concepts into business language.
• Experience defining AI/ML governance policies or technical standards is a plus.

This position is based in Chicago, IL and follows a hybrid work model (3 days in office recommended).

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.