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Added 6 mins ago
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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 mins ago
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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 21 mins ago
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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 21 mins ago
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Senior Product Manager
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
As a Senior Product Manager, you’ll own the vision, strategy, and roadmap for Litera’s Firm Intelligence Platform - the foundational layer that turns the data flowing through a law firm’s…
Added 21 mins ago
SD
Senior DevOps Engineer
Symbiotic Digital
Toronto, ON · Queen's Park Ontario Provincial Government, Ontario
- Contract
The Senior DevOps / Cloud Engineer leads the automation,
Added 21 mins ago
Software Engineer 3, Identity and Access Management
MongoDB
Toronto, ON
We're seeking a Software Engineer to join the Atlas Identity and Access Management (IAM) team. The IAM team owns authentication and authorization for all of MongoDB Atlas, spanning from the…
Added 21 mins ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a Senior DevOps Engineer to design, implement, and manage scalable CI/CD pipelines, cloud infrastructure, automation frameworks, and release processes. The ideal…
Added 35 mins ago
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Engineering Manager- Payments Platform
Xero
Remote, Canada
- Full-time
- Remote
…including hiring, performance, and career development for every engineer on it. You'll set the team's priorities with the product and engineering leadership, and you'll own the team's…
Added 50 mins ago
Software Engineer - New Grad (2027 Start)
Databricks
Vancouver, BC
As a software engineer, you will work with our engineering team to build infrastructure and products for the Databricks platform. We're hiring across all of our teams, including backend,…
Added 51 mins ago
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Senior Cloud Engineer
Raas Infotek
Toronto, ON · Scarborough, ON
- Contract
We are seeking a highly skilled Cloud Engineer with strong expertise in AWS and Azure cloud platforms to design, implement, maintain, and optimize cloud infrastructure. The ideal candidate…
Added 1 hour ago
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Senior Software Quantitative Engineer
RBC
Vancouver, BC · Toronto, ON
- Full-time
This position is responsible for developing logic-intensive components of the digital wealth management platform. Works on computational libraries, as well as API services that interact…
Added 1 hour ago
ZS
Palo Alto Network Engineer
Zodiac Solutions, Inc
Montreal, QC
- Full-time
SD-WAN expert on Paloalto and Prisma platform
Added 1 hour ago
AI
GCP Backend Full stack Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Backend Fullstack Engineer with strong expertise in Python, FastAPI, and Google Cloud Platform (GCP) to develop, deploy, and maintain scalable…
Added 1 hour ago
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Solution Architect / Lead EBO Engineer – BAS (SABAS004)
Potenco
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Solution Architect / Lead EBO Engineer – Building Automation Systems
Added 1 hour ago
HR
Senior Software Engineer – Drone Control & Simulation (Defense and Dual-Use)
Haply Robotics
Montreal, QC
- Full-time
…initiative. You will set the technical foundations, alongside the engineer who started the Drone platform, and bring it from proof of concept to a robust, field-tested…
Added 1 hour ago
ET
Observability Engineer
Envision Technology Solutions
Montreal, QC
- Contract
Added 1 hour ago
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Senior Full Stack Developer (Java/React)
Miratech
Toronto, ON
- Full-time
This role suits a strong hands-on engineer who is equally comfortable on the front end and the back end, and who can take part in solution design as well as delivery. You will translate…
Added 1 hour ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
TriMech is investing in a modern enterprise data platform - built on Microsoft Fabric - to create a trusted, scalable foundation for reporting, analytics, AI, and data-driven…
Added 1 hour ago
IG
Workday Application Engineer
Insight Global
Canada
- Contract
Insight Global is looking for a Workday Application Engineer to support a large retail client within their People & Culture Technology team. This individual will design, configure,…
Added 1 hour ago
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Service Reliability Engineer
Deliverect
Toronto, ON
- Full-time
At Deliverect, our API-first platform is revolutionizing commerce by providing a connected suite of on and off-premise solutions. We empower both the food and retail industries to expand…
Added 1 hour ago
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Lead, Forward Deployed Engineering
Deliverect
Toronto, ON
- Full-time
As the Lead Forward Deployed Engineer for North America, you will bridge technical problem-solving and software engineering by owning enterprise adoption from pre-sales architecture to…
Added 1 hour ago
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Infrastructure Engineer
CarbonForge
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…lower energy use per token while maintaining model quality. The platform outputs reproducible before/after benchmarks and deployment configurations that meet SLA targets with reduced power…
Added 1 hour ago
Full Stack Engineer - Equities Technology
HSBC Global Services Limited
Toronto, ON
HSBC Equities Technology is investing heavily in its front office electronic trading platform and this role helps translate that investment into a scalable, extensible and high-performing…
Added 1 hour ago
Unified Customer Experience - Consultant - Senior Full Stack Engineer
Questrade Financial Group
Calgary, AB
The Senior Software Engineer leads the technical design and delivery of complex, high-performance features across Questrade's products, spanning front-end applications (React Native,…
Added 2 hours ago
TA
Agentic AI Architect
Tiger Analytics
Canada
- Full-time
Azure Solutions Architect Expert / Azure AI Engineer Associate

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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