Senior AI Platform 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. Facilitate structured innovation sessions using design thinking and lean startup principles to identify high-impact AI/GenAI opportunities.

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.

Partner with engineers, product, and business units to translate ideas into tangible, testable solutions.

Bachelor's or Master’s degree in computer science, Engineering, Design, Innovation, Human-Computer Interaction, or related field.

professional experience in innovation, solution architecture, or product development, in AI/ML/GenAI.

Strong familiarity with Generative AI concepts, LLMs, prompt engineering, LLM Agents, MCP, A2A and related tools/frameworks/protocols.

Demonstrated experience with design thinking, lean startup, and agile prototyping methodologies.

Python, NodeJS, Streamlit, ADK, LangGraph etc.).

AWS, GCP) and ML platforms (e.g., Vertex AI, Bedrock).

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.