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Added 6 mins ago
BC
Manager, Project & Portfolio Management
BC College of Nurses and Midwives
Vancouver, BC
- Full-time
Reporting to the Director, Project and Business Architecture (PBA), the Manager, Project and Portfolio Management leads the day-to-day operation and continuous improvement of BCCNM’s…
Added 6 mins ago
Technical Consultant I
Zafin
Toronto, ON
…management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise…
Added 6 mins ago
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Edmonton, AB
- Full-time
…reports. Additional responsibilities involve maintaining billing systems, issuing tenant charges and rental notices, and supporting the company’s sustainability and corporate social…
Added 6 mins ago
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- Full-time
Knowledge around Dominion Securities systems an asset
Added 6 mins ago
RB
Associate
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- Full-time
Monitors private banking business performance and market conditions when implementing new private banking services.
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Assistant Branch Operations Manager
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Toronto, ON
- Full-time
Knowledge of RBC Dominion Securities’ systems and procedures, an asset
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Engineering Manager- Payments Platform
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- Full-time
- Remote
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…power more than 350,000 partnerships that deliver measurable business…
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Fashion Associate (Part time) - Reitmans
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Brandon, MB
- Part-time
Proficient in POS, ERP, ATS systems and Microsoft Office Suite.
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Temporary Fashion Associate - Pen Centre
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- Part-time
Proficient in POS, ERP, ATS systems and Microsoft Office Suite.
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Product Director, Mobile | Directeur ou directrice de produit, Mobile
NBCUniversal
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- Full-time
…will work across product, design, technology, production, and business teams to build engaging mobile experiences and help shape the future of our mobile product…
Added 21 mins ago
CP
Senior Technical Designer
CD PROJEKT RED
Canada
- Full-time
The person in this role will report to the Lead Systems Designer. For US hires, this role may be performed in a hybrid capacity from our Boston Hub, with relocation assistance available.…
Added 21 mins ago
Technology Analyst
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Added 21 mins ago
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Vancouver, BC
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Added 21 mins ago
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…laboratory diagnostic information and digital health connectivity systems, enabling patients and healthcare practitioners to diagnose, treat, monitor and prevent disease. We are passionate…
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Principal Scientist
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- $150,000 to $250,000 CAD / year
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Prior experience preparing meals in a business or institutional setting will be an asset
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Added 21 mins ago
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Junior Service Agreement Coordinator
Reid Brothers Plumbing & Heating Ltd.
Vancouver, BC
- Full-time
Previous experience in plumbing, HVAC, construction, or a service-based business is an asset.
Added 21 mins ago
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Senior Structural Engineer - Sarnia
Wood
Sarnia, ON
- Full-time
Wood is recruiting for a Senior Structural Engineer to join its Oil, Gas & New Energies business focusing on structural engineering for oil and gas projects. This opportunity is hybrid,…
Added 21 mins ago
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Risk Coordinator (Construction)
PACT
ON · Mississauga, Ontario
- Full-time
Ensure data quality, consistency, and timely updates within risk and project systems.
Added 21 mins ago
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Sales & Operations Planning Analyst
Prollenium Medical Technologies Inc.
Richmond Hill, ON
- $75,000 to $80,000 CAD / year
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Tiger Analytics

Agentic AI Architect

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 6, 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.

Requirements

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.

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.

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More about this job

Responsibilities

Design scalable, secure agentic AI architectures and cloud-native systems, including multi-agent orchestration, memory, integrations, and governance. Build prototypes, establish engineering standards, review code, evaluate AI frameworks and models, and advise business and technical stakeholders.

Requirements

Requires at least five years of cloud architecture experience and at least two years building LLM applications, along with hands-on experience in agent frameworks, production programming, CI/CD, vector databases, and enterprise search. A bachelor's or master's degree in a relevant technical field or equivalent practical experience is required, alongside strong communication skills and a pragmatic approach to enterprise AI.

Skills

Cloud Architecture
Agentic AI
Large Language Models
AI Solutions Architecture
Multi-Agent Orchestration
Python
TypeScript
Java
LangGraph
LangChain
Semantic Kernel
AutoGen
CrewAI
Retrieval-Augmented Generation
Vector Databases
AI Governance

Benefits

Career Development Opportunities
High Individual Responsibility

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Generative AI
Large Language Models
Azure
AWS
Google Cloud Platform
Azure OpenAI
Amazon Bedrock
Vertex AI
LangGraph
LangChain
Semantic Kernel
AutoGen
CrewAI
Python
TypeScript
Java
Retrieval-Augmented Generation
Vector Databases
Pinecone
Milvus
Enterprise Search
LLMOps
CI/CD
Microservices
Serverless Computing
AI Governance
NeMo Guardrails
Llama Guard
AI Safety

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