Senior Agentic AI Engineer
LocationCanada
Typefull-time
SenioritySenior
DepartmentMLE
Company size5,001–10,000 people
PostedOct 28, 2025 · 11mo ago
Verified live23h ago
At a glanceSummarised by Seekless from the posting.
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
Proven ability to build rapid prototypes using no-code/low-code tools or scripting (e.g., Python, NodeJS, Streamlit, ADK, LangGraph etc.)
Strong storytelling, presentation development, and visual communication skills; able to pitch ideas and strategic vision effectively to diverse audiences
Passionate about problem-solving, emerging technologies, and delivering user-centric solutions
Self-starter who thrives in ambiguity and collaborates seamlessly across disciplines
Strong organizational skills with the ability to juggle multiple ideas and priorities with speed and precision
Experience with cloud services (e.g., AWS, GCP) and ML platforms (e.g., Vertex AI, Bedrock)
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
Prior involvement in running innovation labs, hackathons, or design sprints
Familiarity with innovation frameworks/theories such as Design thinking, Innovation Funnel, Jobs-To-Be-Done (JTBD), Business Model Canvas etc.
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
Skills
Python
NodeJS
Streamlit
ADK
LangGraph
AWS
GCP
Vertex AI
Bedrock
Generative AI
LLMs
prompt engineering
LLM Agents
MCP
A2A
About the company
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.
About the role
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.
Qualifications:
•
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.
•
Proven ability to build rapid prototypes using no-code/low-code tools or scripting (e.g., Python, NodeJS, Streamlit, ADK, LangGraph etc.).
•
Strong storytelling, presentation development, and visual communication skills; able to pitch ideas and strategic vision effectively to diverse audiences.
•
Passionate about problem-solving, emerging technologies, and delivering user-centric solutions.
•
Self-starter who thrives in ambiguity and collaborates seamlessly across disciplines.
•
Strong organizational skills with the ability to juggle multiple ideas and priorities with speed and precision.
•
Experience with cloud services (e.g., AWS, GCP) and ML platforms (e.g., Vertex AI, Bedrock).
•
Prior involvement in running innovation labs, hackathons, or design sprints.
•
Familiarity with innovation frameworks/theories such as the Design thinking, Innovation Funnel, Jobs-To-Be-Done (JTBD), Business Model Canvas etc.
Benefits
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.