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Added 8 mins ago
HT
BI Platform Operations Engineer
Hirematic Talent Solutions
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Assist with operational support and troubleshooting of Amazon Q / Quick Suite agents, including access, configuration, underlying data/content availability, and integration-related issues.
Added 1 hour ago
IC
Senior Compiler Engineer - Triton and DSLs
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
You will work on modern compiler infrastructures including LLVM and MLIR, driving innovations that improve performance, scalability, programmability, and portability across diverse hardware…
Added 1 hour ago
IC
Compiler Engineer - Triton and DSLs
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
You will work on modern compiler infrastructures including LLVM and MLIR, helping deliver technologies that improve performance, scalability, programmability, and portability across diverse…
Added 1 hour ago
C
Principal Engineer - Android
COSMO
Remote, Canada
- $120,000 to $140,000 CAD / year
- Full-time
- Remote
Role Summary: We are looking for a Principal Engineer to set the technical direction for our Android platform and raise the engineering bar across the organization. As the most senior…
Added 2 hours ago
C
Software Developer
Cisco
Ottawa, ON · Kanata, Ontario
- Full-time
We are seeking a highly skilled Software Engineer to deliver features needed for integration between Cisco Cloud Control and Cisco Catalyst Center. In this role, you will architect and lead…
Added 3 hours ago
S
Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 hours ago
VM
Sr Full Stack Engineer
Vivid Machines
Toronto, ON
- Full-time
Build real integration surfaces for customers and partners. Versioned APIs, clear contracts, useful errors and documentation good enough that a partner’s engineer never needs to email us.
Added 4 hours ago
SR
Backend Engineer - Kotlin
Swim Recruiting
Vancouver, BC
- $75 to $95 CAD / hour
- Contract
As a result of growth our client is looking to hire a Kotlin software engineer to build and support its finance integration platform. You’ll work in an existing Kotlin codebase, connecting…
Added 4 hours ago
BF
(Junior) Data Engineer (12-Month Contract)
BC Financial Services Authority
Vancouver, BC
- $56,294 to $107,310 CAD / year
- Contract
We are recruiting for a temporary (Junior) Data Engineer role for 12 months within the British Columbia Financial Services Authority (BCFSA). Candidates applying through this competition…
Added 4 hours ago
PC
Cloud Infrastructure Engineer, Senior Associate
Pwc Canada
Ottawa, ON · Toronto, ON
- Full-time
At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance,…
Added 5 hours ago
AI
Python 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 5 hours ago
ES
GEN AI Developer
Epsilon Solutions Ltd.
Mississauga, ON
- Contract
Experienced professional with strong Python development and Generative AI expertise, especially in prompt engineering.
Added 5 hours ago
RI
Senior Software Development Engineer in Test (SDET)
Rose International
Mississauga, ON
- Full-time
AI & Intelligent Testing Integration: Evaluate, integrate, and scale AI/ML-assisted testing solutions (e.g., generative AI for synthetic test data generation, predictive quality gates,…
Added 5 hours ago
Forward Deployed Engineer
Tenstorrent
Toronto, ON
We’re looking for a Forward Deployed Engineer to own the technical outcome of the AI Hardware systems we build with our customers. You will work alongside customer engineering and…
Added 5 hours ago
D
Senior SDET / Quality Engineering Lead/Architect
Droisys
Brampton, ON
- Contract
…companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to…
Added 5 hours ago
M
Software Engineer - II
Mastercard
Vancouver, BC
- Full-time
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making…
Added 6 hours ago
PC
Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect
Pyramid Consulting, Inc
Mississauga, ON
- $70 to $79 CAD / hour
- Contract
Immediate need for a talented Senior Software Development Engineer in Test (SDET) / Quality Engineering Architect. This is a 06+months contract opportunity with long-term potential and is…
Added 6 hours 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 6 hours ago
EC
GEN Ai Developer
Experis Canada
Toronto, ON
- Contract
Reverse engineer existing applications built using Python, Java, Angular, and Mule to generate architecture, data flow, and sequence diagrams.
Added 6 hours ago
T
Data Integration Engineer
TekRek
Canada
- Contract
This is a contract role through July 2027 for a data integration specialist. You’ll own how new data sources get onto the bank’s central platform, from finding them to running them in…
Added 6 hours 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 6 hours 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 6 hours 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 7 hours ago
M
Platform Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We’re looking for a Platform Engineer who enjoys solving complex infrastructure challenges, improving developer experiences, and building secure, automated cloud environments. You’ll work…
Added 7 hours ago
L
Senior Product Manager
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
Proven experience building platform products and defining platform architecture - such as data platforms, API and integration layers, or shared services consumed by multiple products or…

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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