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Added 11 mins ago
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Financial Operation Analysis And Reporting (P&L) - Intermediate
BeachHead
Toronto, ON
- $48.19 to $57.83 CAD / hour
- Contract
Experience with AI-enabled reporting or analytics tools.
Added 11 mins ago
PI
Marketing AI & Analytics Strategist
Poka Inc.
Montreal, QC
- Full-time
Use AI tools to automate the analytics work that doesn't require judgment: lead enrichment, anomaly detection, routine reporting, intent signal processing. The point is to free up time for…
Added 11 mins ago
MI
Senior Business Architect
Maarut Inc
Montreal, QC
- Contract
Added 11 mins ago
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Gen AI Developer
Capgemini
Mississauga, ON
- Full-time
Added 11 mins ago
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Procurement Manager
Kelly Services (Canada), Ltd.
Toronto, ON
- Contract
Use market intelligence, data, analytics, and procurement tools to support decisions and negotiations.
Added 11 mins ago
MM
Technical Lead - Microsoft Business Central
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 11 mins ago
TI
Business Systems Consultant
TekStaff IT Solutions
Toronto, ON
- Contract
Added 11 mins ago
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Auditor
Recruit Action inc.
Toronto, ON
- $67 to $88 CAD / hour
- Contract
Embrace and use data analytics to improve audit coverage.
Added 11 mins ago
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Product Marketing Manager
WELLSTAR Technologies
Toronto, ON
- Full-time
Added 11 mins ago
WT
.NET Engineer
Wissen Technology
Calgary, AB
- Full-time
…Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation, Multi-Cloud &…
Added 26 mins ago
KC
QC - Intern Strategy & Economy - Winter 2027
KPMG Canada
Montreal, QC
- Internship
Added 26 mins ago
Marketing AI & Analytics Strategist
Poka EN
Montreal, QC
Use AI tools to automate the analytics work that doesn't require judgment: lead enrichment, anomaly detection, routine reporting, intent signal processing. The point is to free up time for…
Added 26 mins ago
LU
Financial Analyst
LexisNexis UK
Toronto, ON · Canada - Toronto (Sheppard Ave)
- Full-time
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better…
Added 41 mins ago
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Sales Enablement Manager
SysAid
Toronto, ON
- Full-time
Added 41 mins ago
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Executive Director, Transit Enforcement and Fare Collection (13950)
Toronto Transit Commission (TTC)
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Leverage data, analytics, and performance insights to inform decision-making, assess revenue risks, and drive continuous improvement.
Added 41 mins ago
DI
Business Development Representative
Dig Insights
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 41 mins ago
OS
Marketing Director
OneRiver Software
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Full-time
Establish marketing analytics, attribution, and performance reporting.
Added 41 mins ago
IQ
Snowflake Cortex AI Architect | Agentic AI | Montreal, QC
Infinity Quest
Montreal, QC
- Contract
Added 41 mins ago
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Forward Deployed Engineer
Ikuto
Toronto, ON
- $180,000 to $260,000 CAD / year
- Full-time
Added 41 mins ago
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AWS Architect
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Added 41 mins ago
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Financial Analyst
RELX
Toronto, ON · Canada - Toronto (Sheppard Ave)
- Full-time
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better…
Added 41 mins ago
O
Associate Director, Process Engineering
OMERS
Toronto, ON · Head Office Toronto
- Full-time
…states. The Associate Director will help ensure AI, automation, analytics and other technology-enabled solutions solve the right problems and deliver meaningful, sustainable business…
Added 41 mins ago
Senior Data Product Developer
WestJet Group
Calgary, AB
…data assets that support decision-making, reporting, advanced analytics, AI, and operational…
Added 41 mins ago
Web Content & Digital Experience Specialist
Talent Acquisition - Achev
Mississauga, ON
…search engine optimization (SEO), accessibility compliance, analytics, and user experience improvements that support awareness, engagement, program participation, fundraising, and…
Added 41 mins ago
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Sr. AI/ML Engineer, RAIB
McKesson
Mississauga, ON
- Full-time

BrainRidge Consulting

AI Architect

Moncton, NB, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 25, 2026
Experience: 7+ years of experience in software or solutions architecture, including meaningful experience architecting AI or machine learning systems.
Posting language: English
Posted: Oct 26, 2026

Original job description

Location: Maritimes (New Brunswick, Prince Edward Island, Nova Scotia) (Hybrid)

About BrainRidge

BrainRidge Consulting is a premium FinTech Technology Consulting firm with the energy of a startup and experience of an enterprise. With a mission to empower financial institutions and organizations to thrive in the digital age, we provide cutting-edge technology solutions and strategic guidance to drive innovation and growth. As we continue to grow, we are seeking a motivated and experienced AI Architect.

Role Overview

We are seeking an AI Architect to design and build enterprise-grade AI solutions, platforms, and agentic systems for our clients. This role sits at the intersection of AI, software architecture, cloud, data, security, and enterprise technology, working with business and engineering teams to turn complex AI use cases into scalable, secure, production-ready solutions. It is ideal for someone who goes beyond demos and prompt engineering and understands how to architect AI systems that operate reliably inside large enterprises. Our Maritimes office is located in Moncton, New Brunswick. This role offers a flexible hybrid arrangement, with occasional in-office days as needed.

Key Responsibilities

Design end-to-end architectures for Generative AI, Agentic AI, RAG, machine learning, and intelligent automation solutions, translating business requirements into scalable technical approaches.
Architect AI agents, including their tools, workflows, memory, permissions, context, and human-in-the-loop controls.
Design enterprise AI platforms and reusable capabilities, including model gateways and catalogues, agent runtimes and registries, RAG and knowledge services, prompt and tool registries, and evaluation and observability platforms.
Define guardrails, governance, usage monitoring, and cost controls for enterprise AI systems.
Evaluate and recommend AI models based on capability, latency, security, cost, and use-case requirements.
Design retrieval and knowledge architectures across structured and unstructured enterprise data, and integrate AI solutions with enterprise applications, APIs, databases, and systems of record.
Define AI security patterns covering identity, authorization, data protection, prompt injection, tool execution, and agent permissions.
Establish architecture patterns and deployment strategies for AI evaluation, observability, testing, and production operations across cloud, hybrid, serverless, and Kubernetes environments.
Develop reusable AI reference architectures, standards, accelerators, and decision frameworks, and lead architecture workshops, discovery sessions, and proofs of concept.
Provide technical leadership to AI, software, data, and platform teams, and partner with security, data, cloud, risk, privacy, and business stakeholders.

Qualifications

7+ years of experience in software or solutions architecture, including meaningful experience architecting AI or machine learning systems.
Strong experience across generative and agentic AI, including LLMs, RAG, multi-agent systems, tool/function calling, context engineering, AI memory, and model routing.
Experience with AI frameworks such as LangChain/LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or MCP, and model ecosystems such as OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral, or Cohere.
Strong experience with at least one major cloud platform (Azure, AWS, or Google Cloud) and its AI services.
Experience with data and knowledge architecture, including SQL/NoSQL databases, data lakes and warehouses, vector databases, hybrid/semantic search, and knowledge graphs.
Strong understanding of enterprise architecture, including distributed systems, microservices, REST APIs, event-driven architecture, Kubernetes, serverless computing, and identity and access management.
Hands-on experience with Python, SQL, APIs, Git, CI/CD, Docker, Kubernetes, and Infrastructure as Code.
Familiarity with MLOps/LLMOps/AgentOps practices and observability tools such as MLflow, LangSmith, Langfuse, Arize Phoenix, or Weights & Biases.
Ability to move comfortably between executive conversations and deep technical discussions.
Demonstrated experience working across multiple business domains and with cross-functional technical and business teams.

Our Commitment

At BrainRidge Consulting, we value and prioritize diversity, equity, and inclusion. We believe that a diverse and inclusive workplace leads to a more innovative and productive team. We welcome applicants of all backgrounds and are committed to providing a safe, fair, and welcoming environment where everyone feels valued and respected. If you require accommodations during the hiring process, please let us know.

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More about this job

Responsibilities

Design end-to-end enterprise AI architectures, platforms, and agentic systems, including retrieval, security, governance, evaluation, and production operations. Lead architecture workshops and proofs of concept, develop reusable standards and reference architectures, and provide technical leadership across business and engineering teams.

Requirements

Requires 7+ years of software or solutions architecture experience, including meaningful experience architecting AI or machine learning systems, and strong expertise in generative and agentic AI. Candidates should have cloud, data, enterprise architecture, and security experience, hands-on skills with Python, SQL, APIs, CI/CD, Docker, Kubernetes, and Infrastructure as Code, and the ability to work across technical and business teams.

Skills

Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
AI Architecture
Cloud Architecture
Python
SQL
Kubernetes
Docker
Infrastructure as Code
Machine Learning
Data Architecture
MLOps/LLMOps/AgentOps
Enterprise Security
Distributed Systems

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
Machine Learning
Multi-Agent Systems
Tool Calling
Context Engineering
AI Memory
Model Routing
LangChain
LangGraph
LlamaIndex
Semantic Kernel
AutoGen
CrewAI
Model Context Protocol
OpenAI
Anthropic Claude
Google Gemini
Azure
AWS
Google Cloud
Vector Databases
Hybrid Search
Knowledge Graphs
Python
SQL
Kubernetes
MLOps

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