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Added 2 days ago
T
Senior Business Intelligence Analyst – Power BI
TD
Toronto, ON
- Full-time
This is a hands-on technical role for someone with strong Power BI and DAX expertise, strong data visualization skills, and experience working with SQL, Python and Databricks.
Added 2 days ago
AM
IP-Post Silicon Validation Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…knowledge and skills of the team around you. You are a self-starter with strong analytical and problem-solving skills and are willing to learn and ready to independently drive tasks to…
Added 2 days ago
AI
Practice Lead - Data & AI
Architecture in Motion Inc.
Mississauga, ON
- Full-time
…capabilities, and strong AI engineering knowledge, together with the ability to translate those capabilities into compelling client…
Added 2 days ago
AM
Research Associate (12 month term)
Alberta Machine Intelligence Institute
Edmonton, AB
- Full-time
Strong Python programming skills and proficiency with modern machine learning frameworks, particularly PyTorch.
Added 2 days ago
AM
Machine Learning Resident - Client: ModeDi (12 month term)
Alberta Machine Intelligence Institute
Edmonton, AB
- Full-time
This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, ModeDi, afterwards (note: at the discretion of the client). The…
Added 2 days ago
A
IP-Post Silicon Validation Engineer
AMD
Markham, ON
- $155,200 to $232,800 CAD / year
- Full-time
…knowledge and skills of the team around you. You are a self-starter with strong analytical and problem-solving skills and are willing to learn and ready to independently drive tasks to…
Added 2 days ago
C
Software Engineer
Cisco
Ottawa, ON
- $116,700 to $165,800 CAD / year
- Full-time
…thrive on collaboration and constant innovation, working closely with cross-functional teams to solve complex infrastructure challenges in real-time. We cultivate a culture of continuous…
Added 2 days ago
A
Senior Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
…work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our…
Added 2 days ago
ES
Software Engineer (Java, Python & Linux)
Enterprise Solutions Inc.
Toronto, ON
- Contract
We are looking for an experienced Software Engineer with strong hands-on expertise in Java, Python, Linux, and CI/CD to join a dynamic DevSecOps team supporting a large-scale, highly…
Added 2 days ago
H
Artificial Intelligence Engineer
Hays
Toronto, ON
- Contract
We are looking for an AI Engineer with strong Python development experience and hands-on expertise in building and deploying Generative AI solutions.
Added 2 days ago
L
Python Software Engineer (Client Facing Consultant)
Luxoft
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
…experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver working solutions with minimal…
Added 2 days ago
RE
Platform Integration and Monitoring Consultant
Randstad Enterprise
Montreal, QC
- Full-time
Develop automation solutions and operational tooling using Python, Shell scripting, and AI-assisted development technologies to improve efficiency, reduce manual effort, and increase…
Added 2 days ago
D
AWS AI Solution Architect
DEDICATTED
Canada
- Full-time
Experience with Python and modern AI application development frameworks.
Added 2 days ago
AC
System Support Specialist (AI and Automation)
ALT Consulting
Ottawa, ON
- Full-time
We're looking for a System Support Specialist who is passionate about technology, comfortable working with clients, and already using AI tools as part of their everyday work.
Added 2 days ago
D
Forward Deployed Full-Stack Engineer: Next.js + AWS AgentCore
DEDICATTED
Canada
- Full-time
We are looking for a Senior Full-Stack Engineer to join our team. You will work directly with our clients to design and build complex, production-grade Proofs of Concept for agentic AI…
Added 2 days ago
A(
Machine Learning Resident - Client: ModeDi (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, ModeDi, afterwards (note: at the discretion of the client). The…
Added 2 days ago
VT
Hardware Test Engineer
VANJOBS Technical Recruiters
Vancouver, BC
- Full-time
…doorbells, smart lighting, and security bundles. Their partnership with AWS has resulted in over 4 million subscribers for advanced data storage and access. With over 550 employees, their…
Added 2 days ago
A
Senior Java Software Engineer
Artech
Mississauga, ON
- Contract
We are seeking a Senior Software Developer with deep Java technology expertise to work directly with our Fintech clients in the Spread Products space. This is a hybrid…
Added 2 days ago
ES
Software Engineer (Java, Python & Linux)
Enterprise Solutions Inc.
Mississauga, ON
- Contract
It will be good if candidate has experience in both Java and Python, Linux and CICD.
Added 2 days ago
VS
Data Science Developer
vTech Solution Canada
Toronto, ON
- Contract
Strong programming skills, particularly Python and SQL, with experience developing production-quality applications.
Added 2 days ago
S
Data Engineering Director - Vancouver
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Familiarity with modern data engineering tools, languages, and paradigms (e.g., Spark, Python, dbt, Terraform, generative AI).
Added 2 days ago
D-
Responsable IA
DELAN - IT Talent Solutions
Quebec, QC
- Full-time
Connaissances en Python et en interfaces de programmation (API) (atout)
Added 2 days ago
C
Software Design/Engineer - New Grad
Ciena
Ottawa, ON
- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 2 days ago
W
Technical Lead Manager, ML Dataset Platform
Waabi
Toronto, ON
- $200,000 to $280,000 USD / year
- Full-time
Strong software engineering and implementation: You have very strong Python skills and are comfortable in PyTorch training loops; you have strong software-engineering fundamentals and…
Added 2 days ago
MT
Staff Validation Engineer - Optical Interconnect
Marvell Technology
Ottawa, ON · CA-ON - Ottawa
- Full-time
…portions of the validation plan and board or fixture designs, with guidance on architecture…

DEDICATTED

AWS AI Solution Architect

Canada

Full-time

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Job details

Job type: Full-time
Experience: 3+ years of experience in AI/ML, software architecture, solution architecture, or similar technical roles.
Posting language: English
Posted: Nov 5, 2026

Original job description

We are seeking an experienced AWS AI Solution Architect to join our team and work on the design and implementation of production-grade AI and agentic systems. In this role, you will be responsible for defining AI solution architecture, designing multi-agent workflows, and working closely with Software Engineers, Data Engineers, DevOps Engineers, and customer stakeholders to deliver scalable, secure, and reliable AI solutions on AWS.

You will work extensively with Amazon Bedrock, LLM-based applications, agentic frameworks such as LangGraph and LangChain, and modern AWS services used to build and operate enterprise AI platforms.

Engagement: long-term, full-time.

Location: Canada (ON/QC - ideally). !!! Readiness for business trips to Montreal in the nearest time.

What you will be doing:

Design and implement production-grade AI and agentic architectures based on business and technical requirements.
Develop LLM-powered applications, autonomous agents, and multi-agent workflows using frameworks such as LangGraph and LangChain.
Design agent orchestration patterns, including tool usage, routing, planning, memory, state management, human-in-the-loop workflows, and multi-agent collaboration.
Build AI solutions using Amazon Bedrock, including foundation models, Knowledge Bases, Guardrails, model evaluation, and other Bedrock capabilities.
Design and implement RAG architectures, including document ingestion, chunking, embeddings, vector search, retrieval strategies, reranking, and context management.
Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and internal tools.
Define architecture for scalable and secure AI workloads across application, data, model, and infrastructure layers.
Participate in hands-on implementation, prototyping, troubleshooting, and technical validation of AI solutions.
Evaluate different foundation models and AI approaches based on quality, latency, scalability, security, and cost requirements.
Establish patterns for observability, tracing, evaluation, testing, and monitoring of LLM and agentic applications.
Define security controls for AI systems, including IAM, data isolation, encryption, PII handling, prompt injection protection, and access control.
Collaborate with Software Engineers, DevOps Engineers, Data Engineers, QA Engineers, and business stakeholders throughout the delivery lifecycle.
Prepare and maintain architecture diagrams, technical documentation, implementation guidelines, and technical decision records.
Support production readiness, performance optimization, troubleshooting, and continuous improvement of deployed AI solutions.

A successful candidate will have:

3+ years of experience in AI/ML, software architecture, solution architecture, or similar technical roles.
Strong hands-on experience designing and implementing LLM-based applications.
Practical experience building AI agents or agentic workflows.
Strong experience with Amazon Bedrock and AWS-based AI architectures.
Experience with agentic and LLM frameworks such as:
LangGraph;
LangChain.
Strong understanding of modern LLM application patterns, including:
Retrieval-Augmented Generation (RAG);
tool/function calling;
agent orchestration;
multi-agent systems;
memory and state management;
structured outputs;
human-in-the-loop workflows.
Strong understanding of prompt engineering and context management.
Experience integrating LLM applications with external APIs, databases, and enterprise systems.
Good understanding of vector databases, embeddings, semantic search, and retrieval techniques.
Strong understanding of cloud architecture principles, including scalability, high availability, security, observability, and cost optimization.
Experience designing APIs and backend services for AI applications.
Understanding of AI application evaluation, including model quality, hallucination reduction, retrieval quality, latency, and cost.
Ability to translate business requirements into practical AI architecture and implementation decisions.
Strong communication skills and the ability to explain complex AI concepts to both technical and non-technical stakeholders.

Will be a plus:

Experience with AWS AgentCore and its capabilities for building and operating AI agents.
Experience with AWS services commonly used in AI platforms, such as:
Lambda/Step Functions;
ECS / EKS;
API Gateway;
DynamoDB;
Aurora / RDS.
Experience with Amazon OpenSearch Service, pgvector, Pinecone, or other vector databases.
Experience implementing MCP-based integrations or similar standardized tool integration approaches.
Experience with LLM observability and evaluation platforms or frameworks.
Experience designing AI solutions that handle sensitive or regulated data.
Understanding of MLOps / LLMOps practices and production AI lifecycle management.
Experience with Python and modern AI application development frameworks.
Experience designing distributed or event-driven architectures.
Experience with additional cloud AI platforms such as Azure AI Foundry or Google Vertex AI.

Working conditions:

16 days of paid time off.
Official public holidays.
Participation in company events.
Health insurance.
Engaging projects with opportunities for career growth.
Certifications, Claude/other tools needed.
Corporate events, team-building activities.
Gifts and recognition from the company.
A friendly, open, and supportive team culture without excessive bureaucracy.

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More about this job

Responsibilities

Design and implement secure, scalable production AI architectures on AWS, including LLM applications, agents, multi-agent workflows, and RAG systems. Integrate AI solutions with enterprise systems, establish evaluation, observability, and security practices, and collaborate with technical teams and stakeholders through delivery and production support.

Requirements

Candidates need at least three years of experience in AI/ML, software or solution architecture, or a similar technical role, with hands-on experience building LLM applications and agentic workflows using Amazon Bedrock, LangGraph, and LangChain. They should understand RAG, cloud architecture, security, APIs, vector search, model evaluation, and be able to translate business needs into practical solutions and communicate effectively with technical and non-technical stakeholders.

Skills

AWS
Amazon Bedrock
AI Solution Architecture
Large Language Models
LangGraph
LangChain
Agentic Workflows
Retrieval-Augmented Generation
Prompt Engineering
Vector Databases
Python
API Design
Cloud Security
LLM Evaluation
Observability
MLOps

Benefits

Paid Time Off
Public Holidays
Health Insurance
Company Events
Career Growth Opportunities
Certifications
Team-Building Activities
Gifts and Recognition

Visa sponsorship

Not detected in the job text

Keywords

AWS
Amazon Bedrock
AWS AgentCore
LangGraph
LangChain
LLM Applications
AI Agents
Multi-Agent Systems
Retrieval-Augmented Generation
Foundation Models
Knowledge Bases
Guardrails
Prompt Engineering
Tool Calling
Human-in-the-Loop
Vector Databases
Embeddings
Semantic Search
Python
MCP
Lambda
Step Functions
ECS
EKS
API Gateway
DynamoDB
Aurora
OpenSearch
LLMOps
Distributed Architectures

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