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Added 23 mins ago
MT
Machine Learning Engineer
MetaOptima Technology Inc.
Vancouver, BC
- $100,000 to $140,000 CAD / year
- Full-time
As a Machine Learning Engineer, you will join a small, high-impact R&D team and own the full ML lifecycle - from research and rapid prototyping through data pipelines, model training, and…
Added 38 mins ago
AI
Python Developer -Forward Deployed, Pyspark
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 53 mins ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 1 hour ago
T
Software Engineer III
TD
Toronto, ON
- Full-time
As a lead software engineer, you are accountable for shaping and delivering end-to-end solutions for enterprise-grade platforms and complex initiatives. You set technical direction, define…
Added 1 hour ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
As a Software Engineer II, you provide technical expertise to implement scalable, reliable and secure solutions for EDMO Data Catalog services. You contribute to solutions that operate…
Added 2 hours ago
AI
Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
Apptoza Inc.
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 3 hours ago
TA
Agentic AI Architect
Tiger Analytics
Canada
- Full-time
Google Cloud Professional Cloud Architect / Professional Machine Learning Engineer
Added 3 hours ago
T
Senior Consultant, ML/AI Engineer, Data & AI
Toast
Vancouver, BC
- $77,000 to $102,000 USD / year
- Full-time
…professionals across the country, for a Senior Consultant, ML/AI Engineer to join its Data & AI practice in Vancouver. The firm helps some of Canada’s largest organizations solve complex…
Added 4 hours ago
C
Senior IT Infrastructure Engineer
Cytel
Canada
- Full-time
The ideal candidate will have 7+ years of experience in infrastructure, cloud engineering, or solution delivery, including substantial hands-on experience with Microsoft Azure. This…
Added 4 hours ago
TA
Agentic AI Architect
Tiger Analytics Inc.
Remote, Canada
- Remote
Google Cloud Professional Cloud Architect / Professional Machine Learning Engineer
Added 4 hours ago
System Architect - Krembil Centre for Neuroinformatics
CAMH
Toronto, ON
Reporting to the KCNI Operations Manager, the full-time, contract (12 months) Solution Architect leads the cloud and solution architecture for the IYS data platform. Built on Google Cloud…
Added 5 hours ago
T
Director Enterprise Applications, Data
TEEMA
Vancouver, BC
- $160,000 to $215,000 CAD / year
- Full-time
Director, Application, Data & Integration | Dynamics 365 · AI-Assisted Engineering (Claude Code) ·
Added 5 hours ago
AI
Full Stack Developer
Alberta iGaming Corporation (AiGC)
AB · Edmonton, AB
- Full-time
…Alberta's regulated iGaming market. Reporting to the Manager, Data Platforms, this position is responsible for end-to-end application development, from requirements gathering and solution…
Added 6 hours ago
B
Salesforce Developer
Brunel
Quebec, QC
- $100,000 to $125,000 CAD / year
- Full-time
Brunel is seeking a Forward Deployed Engineer specializing in Salesforce Agentic AI to support the design, development, and deployment of production-ready AI solutions on the Salesforce…
Added 8 hours ago
S
Solution Engineer (Pre-Sales) - All Levels (Canada)
Salesforce
Toronto, ON
- Full-time
The Solution Engineer is a role that we often hire at Salesforce. If you are interested in any type of Solution Engineering role, you've come to the right place. We look forward to…
Added 8 hours ago
S
Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
Support deployments, configurations, integrations, technical discovery, solution design, and implementation.
Added 10 hours ago
Analyst, Material Pricing
Celestica International LP
Toronto, ON
Align on trade-offs between proposal cycle-time, solution precision and scope with clients to deliver agreed to pricing strategy. (Awareness)
Added 11 hours ago
Senior Solutions Engineer
Toast
Toronto, ON
Architect the solution. Design how Toast fits into a multi-location group's existing stack:
Added 15 hours ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…to queries from a position of deep learning. A GPT-in-a-box solution removes the burden of building or implementing these AI solutions yourself. It also makes overcoming the complexity,…
Added 15 hours ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…to queries from a position of deep learning. A GPT-in-a-box solution removes the burden of building or implementing these AI solutions yourself. It also makes overcoming the complexity,…
Added 21 hours ago
T
Senior Solutions Engineer / Architect
Thri5
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Comfort in front of senior stakeholders and hands-on with APIs, data, and cloud architecture
Added 22 hours ago
C
Solutions Designer, Splunk Montreal, Quebec, Canada
Cisco
Montreal, QC
- Full-time
Solution Architecture: Design and architect robust Splunk deployments that aggregate data from enterprise IT environments, cloud architectures, and digital business systems to provide…
Added 23 hours ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 23 hours ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Added 23 hours ago
SP
Lead Solution Engineer, ECS, Public Sector
Salesforce Partner Canada
Toronto, ON
- Full-time
We are looking for exceptional candidates to join the Public Sector ECS Solution Engineering team. The ECS business is the highest performing, highest growth team in Public Sector. As part…

Tiger Analytics Inc.

Agentic AI Architect

Remote, Canada

Remote

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Job details

Workplace: Remote
Posting language: English
Posted: Oct 27, 2026

Original job description

Tiger Analytics is looking for experienced Agentic AI Architect with Gen AI experience 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 seeking a visionary yet hands-on AI Solutions Architect to define, design, and bootstrap our next-generation Agentic AI architecture. In this role, you will bridge the gap between high-level business strategy and deep technical execution. You will be responsible for designing scalable, multi-agent AI ecosystems on cloud hyperscalers (Azure, AWS, or GCP), while staying close enough to the codebase to build prototypes, establish design patterns, and conduct rigorous code reviews.

The ideal candidate understands that an AI agent is more than just a prompt; it is a complex system involving orchestration, memory fabrics, guardrails, and tool execution. You will partner directly with business executives and engineering teams to transform ambitious AI product visions into production-ready enterprise platforms.

- 1. Architecture & Solution Design (50%)
- - Define the Blueprint: Design robust, secure, and scalable architectures for autonomous and semi-autonomous AI agents, multi-agent orchestration systems, and cognitive workflows.
  - Hyperscaler Implementation: Architect cloud-native AI pipelines leveraging specialized services across Azure (e.g., Azure OpenAI, AI Studio, Azure Functions), AWS (e.g., Bedrock, SageMaker, AWS Lambda), or GCP (e.g., Vertex AI, Agent Builder, Cloud Run).
  - System Orchestration & Memory: Establish architectural patterns for LLM orchestration (LangChain, LangGraph, AutoGen, CrewAI), semantic memory storage (vector databases like Pinecone, Milvus, or cloud-native vector extensions), and state management.
  - Integration & Scalability: Ensure seamless integration of AI agents with legacy enterprise systems, APIs, RPA tools, and real-time data streams while optimizing for cost, latency, and throughput.

- 2. Hands-on Engineering & Prototyping (30%)
- - Rapid Prototyping: Actively write code to build Proof of Concepts (PoCs) and minimum viable products (MVPs) to validate architectural theories and de-risk complex agent workflows.
  - Code Quality & Governance: Establish production-grade coding standards for AI engineering. Conduct deep-dive code reviews to ensure reliability, security, and optimal prompt/agent behavior.
  - Framework Evaluation: Hands-on evaluation of emerging AI frameworks, tooling, and foundational models (open-source vs. proprietary) to determine enterprise viability.

- 3. Stakeholder Collaboration & Leadership (20%)
- - Translate Business to Tech: Partner with product managers and business stakeholders to translate vague business problems into structured agentic workflows and concrete technical requirements.
  - Technical Advocacy: Act as the subject matter expert on Agentic AI, educating internal engineering teams and advising executives on capabilities, limitations, and ROI.
  - AI Governance & Safety: Collaborate with Security, Compliance, and Risk teams to architect robust AI guardrails (e.g., NeMo Guardrails, Llama Guard), ensuring data privacy, hallucination mitigation, and ethical AI deployment.

Required Qualifications
- Technical Experience:
- - Cloud Expertise: 5+ years of experience architecting cloud solutions on at least one major hyperscaler (Azure, AWS, or GCP), with a deep understanding of cloud-native microservices and serverless paradigms.
  - AI/LLM Engineering: 2+ years of direct experience working with Large Language Models (LLMs) and building complex AI applications (RAG pipelines, autonomous agents, tool-calling systems).
  - Agentic Frameworks: Hands-on proficiency with orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or LangChain.
  - Development Skills: Strong production-grade programming skills in Python (preferred), TypeScript, or Java, along with experience in CI/CD pipelines for AI (LLMOps).
  - Data & Search Infrastructure: Proven experience with vector databases and enterprise search engines (e.g., Azure AI Search, Amazon OpenSearch, Vertex AI Search).

- Leadership & Soft Skills:
- - Bilingual Communicator: Ability to explain complex machine learning or architectural concepts simply to non-technical business leaders.
  - Pragmatic Mindset: Balanced approach between pioneering bleeding-edge AI trends and delivering stable, cost-effective enterprise software.
  - Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).

- Preferred Certifications
- - Azure Solutions Architect Expert / Azure AI Engineer Associate
  - AWS Certified Solutions Architect – Professional / AWS Certified Machine Learning – Specialty
  - Google Cloud Professional Cloud Architect / Professional Machine Learning Engineer

Applicants based in US and Canada are invited to apply.

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.

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More about this job

Responsibilities

Design and bootstrap scalable, multi-agent AI ecosystems on cloud platforms while bridging business strategy with technical execution. Lead rapid prototyping, establish production-grade coding standards, and collaborate with stakeholders to transform AI visions into enterprise-ready platforms.

Requirements

Requires 5+ years of cloud architecture experience and 2+ years of direct experience with LLMs and agentic frameworks. Candidates must possess strong programming skills in Python, TypeScript, or Java and hold a degree in a technical field.

Skills

Agentic AI
Cloud Architecture
Python
LLM Orchestration
LangChain
LangGraph
Vector Databases
Azure
AWS
GCP
System Design
Prompt Engineering
LLMOps
Data Science
Machine Learning
API Integration

Benefits

Career development opportunities

Remote locations

Canada
United States

Remote locations (standardized)

Canada
United States

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Gen AI
Cloud Architecture
Azure
AWS
GCP
LangChain
LangGraph
AutoGen
CrewAI
Vector Databases
Pinecone
Milvus
Python
TypeScript
Java
LLMOps
CI/CD
NeMo Guardrails
Llama Guard
Machine Learning
Data Science
RAG
Microservices
Serverless
Enterprise Software
Consulting
AI Governance
Cognitive Workflows
Prototyping

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