Agentic AI Engineer

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. 

As an Innovation engineer, you will play a pivotal role in driving ideation, rapid prototyping, and early-stage incubation of AI and GenAI initiatives. We are obsessed with customer centricity and strongly believe in an "outside in" human centered approach. You will help craft the innovation lifecycle—from problem discovery to proof-of-concept and transition to path 2 pilot — working closely with business partners, platform engineers, product, and researchers.

This is a hands-on, highly collaborative role that bridges the gap between imagination and implementation—leveraging platform capabilities, reference architectures, standards, and starter kits. You’ll also play a key role in shaping strategy and recommendations through experimentation and assessment, presenting insights to stakeholders with clarity and impact. Strong storytelling skills and the ability to craft compelling slide decks and pitch presentations are essential to success in this role.

Requirements

• Ideation & Exploration: Facilitate structured innovation sessions using design thinking and lean startup principles to identify high-impact AI/GenAI opportunities.

• Rapid Prototyping: Design and develop low-fidelity to functional prototypes to validate concepts and generate user feedback quickly.

• Technology Scouting: Stay on the edge of emerging trends in AI, GenAI, LLMs, and automation technologies, evaluating relevance and feasibility.

• Pilot Design: Create clear, scalable technical approaches to progress ideas from POC to Phase 2 pilot, in partnership with engineering and product teams.

• Storytelling & Communication: Develop compelling narratives, visualizations, and presentations to communicate vision, user value, and outcomes to a range of stakeholders.

• Cross-Functional Collaboration: Partner with engineers, product, and business units to translate ideas into tangible, testable solutions.

• Innovation Portfolio Management: Contribute to the tracking and prioritization of innovation initiatives based on business alignment, feasibility, and impact.

• Continuous Learning: Cultivate a culture of curiosity, experimentation, and resilience—failing fast and learning faster.