Tiger Analytics Inc.
AI Engagement Lead
Remote role where the employee must remain based in a particular country.
Canada only
Employer listed it 13 days ago · Found 1h ago
First listed 13 days ago and still open.
Salary
Not stated
Location
Canada only
Timezone
US East
Contract
Full-time
Experience
Lead
Category
Data
This employer didn't state pay. Jobs like this usually pay around $185k–$260k a year, a typical range taken from 164 lead-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Canada. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Toronto, Canada, Toronto, Ontario, Canada, Toronto, Ontario, Canada, Remote"
What Nomaders makes of it
- Residency required in Canada
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for an AI Engagement Lead / AI Engineering Pod Lead who can combine strong client and project leadership with hands-on expertise in AI/ML and Generative AI engineering. The role will involve approximately 50% engagement/project management and coordination and 50% hands-on technical leadership and AI engineering.
Responsibilities:
Lead AI/GenAI engagements from discovery and solution definition through development, deployment, and production.
Serve as the primary technical and delivery interface for clients and senior stakeholders.
Understand business objectives and translate them into AI/ML solution requirements and actionable engineering plans.
Own project planning, prioritization, timelines, milestones, risks, dependencies, and overall delivery.
Coordinate across AI Engineers, Data Scientists, Data Engineers, Product Managers, and client teams.
Conduct regular client discussions, status reviews, technical walkthroughs, and solutioning sessions.
Proactively identify delivery risks, technical challenges, resource constraints, and dependencies and drive them toward resolution.
Architect, develop, and deploy AI/ML and Generative AI solutions for enterprise use cases.
Lead hands-on development of LLM-powered applications, RAG systems, AI agents, and agentic workflows.
Design and implement end-to-end AI application architectures, including: LLM integration, Prompt engineering, RAG pipelines, Embeddings and vector databases, Tool/function calling, Agent orchestration, Evaluation and monitoring
Work with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent technologies.
Integrate foundation models and LLM platforms such as OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Gemini, or open-source models.
Develop production-grade AI services and APIs using technologies such as Python, FastAPI, Docker, Kubernetes, and cloud platforms.
Design retrieval pipelines including document processing, chunking, embedding generation, vector search, hybrid retrieval, and re-ranking.
Requirements
10+ years of experience in software engineering, AI/ML engineering, data science, or a related technical field .
Strong hands-on experience building and deploying AI/ML or Generative AI solutions .
Proven experience leading technical teams or AI engineering pods while remaining hands-on.
Strong proficiency in Python and experience developing production-grade applications.
Strong understanding of LLMs, Generative AI, NLP, RAG, and AI agents .
Experience with one or more AI/GenAI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent .
Requirements
- ·10+ years of experience in software engineering, AI/ML engineering, data science, or a related technical field .
- ·Strong hands-on experience building and deploying AI/ML or Generative AI solutions .
- ·Proven experience leading technical teams or AI engineering pods while remaining hands-on.
- ·Strong proficiency in Python and experience developing production-grade applications.
- ·Strong understanding of LLMs, Generative AI, NLP, RAG, and AI agents .
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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Free to apply, no account needed.
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