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Added 2 days ago
HO
Data Cloud Engineer
Hydro One
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Added 2 days ago
A
Senior Java Developer (Cloud Migration Focus)
Agilno
Toronto, ON
- Contract
We are looking for an experienced, self-directed Senior Java Developer to adapt the application layer of our platform from AWS to Microsoft Azure. You will work alongside our DevOps…
Added 2 days ago
Y
Ruby & Golang Backend Developer
Yochana
Brampton, ON
- Contract
Position Name – Backend Developer – Ruby & Golang
Added 2 days ago
Y
Backend Developer – Ruby & Golang
Yochana
Brampton, ON
- Full-time
Position Name – Backend Developer – Ruby & Golang
Added 2 days ago
CI
Ruby & Golang_Backend Developer
COGNITO INC
Toronto, ON
- Contract
We are looking to hire Backend Developer – Ruby & Golang at Toronto/ Brampton, ON who will design, build and maintain the backend services and APIs that power high-traffic consumer…
Added 2 days ago
D
Data Tech Lead/Architect (AWS)
DEDICATTED
Canada
- Full-time
Understanding of CI/CD, Infrastructure as Code, and DevOps practices.
Added 2 days ago
JI
TI / IT - Architecte principal des applications et développeur principal / Senior Applications Architect & Lead Developer
JAM Industries
Baie-D'Urfé, QC
- Full-time
Added 2 days ago
D
AWS AI Solution Architect
DEDICATTED
Canada
- Full-time
…and working closely with Software Engineers, Data Engineers, DevOps Engineers, and customer stakeholders to deliver scalable, secure, and reliable AI solutions on…
Added 2 days ago
GT
Scrum Master
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $70 to $85 CAD / hour
- Contract
Experience in regulated industries (e.g., Finance) and DevOps / continuous delivery environments
Added 2 days ago
TI
Scrum Master
TekStaff IT Solutions
Toronto, ON
- Contract
Experience in regulated industries (ie., Finance) and DevOps / continuous delivery environments.
Added 2 days ago
TI / IT - Architecte principal des applications et développeur principal / Senior Applications Architect & Lead Developer
Jam
QC · Baie D'urfe, QC
Added 2 days ago
XS
Senior Databricks Architect
Xaxis Solutions
ON · Ontario, Canada
- Contract
Integrate Amazon S3, AWS Lake Formation, AWS DevOps pipelines and Databricks workflows for end-to-end data and AI platform automation.
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
IC
Scrum Master
Infotek Consulting Inc.
Toronto, ON
- $75 to $87 CAD / hour
- Contract
Exposure to DevOps and continuous delivery environments.
Added 2 days ago
AS
Backend Developer – Ruby & Golang
Ardent SoftSol Inc.
Toronto, ON
- Contract
This job posting is for an existing, active vacancy and we are looking to hire Backend Developer – Ruby & Golang at Toronto/ Brampton, ON who will design, build and maintain the backend…
Added 2 days ago
CC
RQ11674 - Systems Testing/QA Specialist
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
· Identifies, document, and track software defects using tools like ALM, JIRA, Bugzilla, and Azure DevOps.
Added 2 days ago
V
DevOps Engineer
VySystems
Toronto, ON
- Contract
Added 2 days ago
L
Technical Support Engineer
Luxoft
Toronto, ON
- Full-time
Added 2 days ago
SL
Python Developer
Staffingine LLC
Toronto, ON
- Full-time
Collaborate with frontend, DevOps, and product teams to deliver end-to-end solutions
Added 2 days ago
ZI
Snowflake Admin
ZENITH INFOTEK LLC
Markham, ON
- $95,000 to $115,000 CAD / year
- Full-time
Update from Client – Need only Admin profile, No Developer or Developer/Admin will work.
Added 2 days ago
TC
Automation QA
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Top 3 Preferred Skills-Strong understanding of both Front-End and Back-End application architecture and testing's experience using Jenkins, GitHub Actions, Azure DevOps, or GitLab.
Added 2 days ago
HT
Software Release Manager
High Tech Genesis
Ottawa, ON
- Contract
…planning through execution and launch. Work with Engineering, DevOps, QA and program teams to coordinate deliveries, monitor release readiness and drive software…
Added 2 days ago
BS
Azure Databricks Platform engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
The engineer will work closely with data engineering, cloud infrastructure, security, networking, DevOps, and application teams to provide a secure, scalable, governed, reliable, and…
Added 2 days ago
KT
Cyber Security Analyst
koundinyasa Technology Services
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
Work closely with IT, DevOps, and development teams to strengthen system security.
Added 2 days ago
Senior DevOps & Python Platform Engineering Specialist
Capgemini
Montreal, QC
DevOps & Python Platform Engineering Specialist

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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