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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 1 hour ago
S
Software Engineer, Back-End - Mail (Canada)
Superhuman
Remote, Canada
- $150,000 to $192,000 USD / year
- Full-time
- Remote
…join the Mail team at a pivotal moment: as "AI Home" in our product and new integrations raise the bar, we’re modernizing our calendar backend, including calendar syncing, notification…
Added 2 hours ago
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Senior Software Development Engineer in Test (Kubernetes)
Akamai
Canada
- $102,500 to $184,500 CAD / year
As a Senior Software Development Engineer in Test, you will be responsible for:
Added 2 hours ago
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Customer Experience Engineer / M365
Microsoft
Toronto, ON
- Full-time
…to identify recurring issues and feature requests to drive product improvements. You will work with M365 Product Management & software engineering teams to provide direct and specific…
Added 2 hours ago
PM
Lead Software Engineer – Application Security & Architecture
Prospect Markets
Vancouver, BC
- Full-time
Prospect Markets is hiring a senior engineer to lead technology initiatives across our platform. You'll bring deep application security and software architecture expertise to a team…
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
B
AI Process re-engineer, Capital Markets Product Control
BMO
Toronto, ON · FCP
- Full-time
This role resides in the Capital Markets Product Control team. In this role it will be required to research, builds, and implements scalable artificial intelligence systems capable of…
Added 3 hours ago
Backend Engineer, Data
Stripe
Canada
Every record in our data warehouse is vitally important for the businesses that use Stripe, so we're looking for people with a strong background in software engineering and data to help us…
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 4 hours ago
VM
Sr Full Stack Engineer
Vivid Machines
Toronto, ON
- Full-time
…team and customers use to run the system and work with its data, the data model underneath, and the cloud services that move and deliver that data. You’ll be collaborating with our…
Added 4 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
…resolving systemic service issues. The team is responsible for all product lines (Machines, Molds, 3rd Party Hot runners, Controllers, and Auxiliaries) and works cohesively with a variety…
Added 4 hours ago
SR
Workday Application Engineer
Swim Recruiting
Vancouver, BC
- $50 to $63 CAD / hour
- Contract
6-month contract Workday Systems Engineer role with a global organization.
Added 4 hours ago
Mechanical (Thermal/Vibration) Test Engineer
Moment Energy
Surrey, BC
We are seeking a detail-oriented and hands-on Mechanical (Thermal/Vibration) Test Engineer to join our dynamic team. This role is crucial for ensuring the safety, reliability, and…
Added 4 hours ago
EI
Mechanical Engineer
Ecolab Inc.
Calgary, AB
- Full-time
As a Mechanical Engineer, you will lead the design and development of next-generation Coolant Distribution Units (CDUs) that power AI, high-performance computing, and data center…
Added 4 hours ago
P&
Ingénieur analyste - Systèmes de contrôle / Engineer, Analyst - Control Systems
Pratt & Whitney
Longueuil, QC
- Full-time
Added 4 hours ago
CS
Inside Sales Representative
Certified Sales and Rentals
Saskatoon, SK
- Full-time
Innovation- if it doesn’t exist, we will engineer and manufacture it
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
RI
Senior Forward Deployed Engineer - Java/ Python | Capital Markets
Rose International
Mississauga, ON
- Full-time
…Developer transitioning into a customer-facing, Forward Deployed Engineer (FDE)-style delivery…
Added 5 hours ago
RI
Senior Software Development Engineer in Test (SDET)
Rose International
Mississauga, ON
- Full-time
Certified Software Test Architect / ISTQB Advanced Level (Test Automation Engineer / Technical Test Analyst).
Added 5 hours ago
S
Firmware Engineer
Solidigm
Vancouver, BC
- Full-time
…Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products,…
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
…leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech…
Added 5 hours ago
MT
DevOps & Security Engineer
Martello Technologies
ON · Kanata, Ontario
- Full-time
As our DevOps & Security Engineer, you’ll own how Vantage DX and MPA are built, deployed, and secured. That means running the CI/CD pipelines, hardening our AWS and Azure environments, and…
Added 6 hours ago
M
Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
Senior AI Engineer, Big Data & AI SolutionsWho is Mastercard?
Added 6 hours ago
RI
IOS mobile testing
Raas Infotek
Vancouver, BC
- Contract
Looking for an SDET – Mobility (IOS) Engineer. The team is responsible for application architecture, development and innovation of new feature development to support consumer solutions. In…

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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