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Added 44 mins ago
Senior Recruiter (GTM & Tech)
T6 Talent Partners
Toronto, ON
…is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals…
Added 44 mins ago
Director, Talent Acquisition
T6 Talent Partners
Toronto, ON
…is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals…
Added 1 hour ago
D
Consultant/Senior Consultant, AI Data & Analytics
Deloitte
Calgary, AB
- Full-time
As a Consultant / Senior Consultant within our Analytics practice, you will collaborate closely with practitioners across Audit & Assurance (A&A) to elevate the use of analytics in client…
Added 1 hour ago
T
R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
…building, evaluating, tuning, and deploying predictive and machine learning models for manufacturing process control, optimization, and…
Added 1 hour ago
MB
Senior Product Manager
Martyn Bassett Associates
Mississauga, ON
- Full-time
Added 1 hour ago
Machine Learning Engineer
Scotiabank
Toronto, ON
Scotiabank is seeking a highly motivated and experienced Senior Manager, Software & Data Engineering to lead the design, development, modernization, and support of critical data and…
Added 1 hour ago
GE
Manager, Talent Acquisition
GFL Environmental Inc.
Vaughan, ON
- Full-time
Experience: 5+ years of senior-level recruitment management experience, specifically specializing in high-volume, field, or industrial hiring environments.
Added 2 hours ago
FW
Solution Architect
Future Works
Remote, Canada
- Full-time
- Remote
Systems Thinking: Proven ability to design end-to-end solutions that connect data pipelines, business logic, analytics or machine learning components, and operational user interfaces.
Added 3 hours ago
UO
Scientific Assistant
University of Victoria
Victoria, BC
- Full-time
…technical staff, such as the Manager of Laboratories (ML), Senior Scientific Assistants (SSAs), and Scientific Assistants (SAs), as needed for the day-to-day operation of the unit. This…
Added 3 hours ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
Support AI and machine-learning initiatives and evaluate emerging technologies for practical business value.
Added 5 hours ago
Q
Senior Conversational Bot Engineer
Quantiphi
Canada
- Full-time
Added 8 hours ago
A
Artificial Intelligence Researcher
Aloe
Vancouver, BC
- Full-time
We’re looking for a Senior AI Researcher to bridge frontier research with product innovation. You’ll focus on advancing breakthroughs in AI and machine reasoning and translating them into…
Added 11 hours ago
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Senior Sales Manager
BoomerangFX
ON · Ontario, Canada
- Full-time
…feature-rich practice management solution is supported by advanced Machine Learning and designed to help our clients succeed in the…
Added 15 hours ago
S
Machine Learning Engineer
Syntrace
Toronto, ON
- Full-time
We are now hiring a Machine Learning Engineer, based in Toronto.
Added 19 hours ago
B
Senior Network Engineer
Brunel
Canada
- Full-time
Broad experience across new solar technologies, energy storage, or application of artificial intelligence / machine learning to renewable energy.
Added 22 hours ago
O
Senior AI Developer
OSEDEA
Montreal, QC
- Full-time
As a Senior AI Developer, you build production-grade AI features and systems for enterprise clients. You bring disciplined software development practices, strong applied AI skills, and the…
Added 1 day ago
UO
Scientific Assistant
University of Victoria
Victoria, BC
- Full-time
…technical staff, such as the Manager of Laboratories (ML), Senior Scientific Assistants (SSAs), and Scientific Assistants (SAs), as needed for the day-to-day operation of the unit. This…
Added 1 day ago
CC
Senior Data Scientist
Computer Consultants International, Inc.
Toronto, ON
- Contract
…requirements, develop data models, statistical models, and machine learning algorithms. Manage analytics initiatives, including data transformation, reporting, testing, and end-user…
Added 1 day ago
M
Privacy Counsel and Data Protection Officer
Mecka
Remote, Canada
- $150,000 to $180,000 USD / year
- Full-time
- Remote
Data type: Experience with video, image, biometric, or location data, or with datasets collected or processed for machine learning training.
Added 2 days ago
UO
Scientific Assistant
University of Victoria
Victoria, BC
- Full-time
…technical staff, such as the Manager of Laboratories (ML), Senior Scientific Assistants (SSAs), and Scientific Assistants (SAs), as needed for the day-to-day operation of the unit. This…
Added 2 days ago
M
AVP, AI
Manulife
Toronto, ON
- Full-time
Provide thought leadership on Agentic AI, Generative AI, and machine learning, and advise functional leaders on use cases, readiness, risk considerations, and operating-model changes.
Added 2 days ago
M
CRM Project Manager
Monks
Toronto, ON
- Full-time
Resolve client escalations smoothly, pulling in inputs from internal senior team members when necessary.
Added 2 days ago
A
Senior Software Engineer, Behavior Planning
AeroVect
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
Knowledge of machine learning techniques, especially in the context of behavior prediction and planning
Added 2 days ago
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Senior Machine Learning Applications and Compiler Engineer, LPX
NVIDIA
Toronto, ON · Canada, Toronto
- Full-time
We are now looking for a Senior Machine Learning Applications and Compiler Engineer!
Added 2 days ago
C
Senior Engineering and Delivery Lead
Citi
Mississauga, ON
- Full-time
Knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their application to regulatory data processing/reporting will be an advantage.

Future Works

Solution Architect

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Nov 2, 2026

Original job description

About Future Works

Future Works is a US-focused, AI-native professional services firm building operational AI and data systems. Our foundation beliefs are simple: optimization lowers need for resources, which increases sustainability and resilience. We are a team of "Time Benders" on a mission to collapse timelines to operational transformation of high footprint companies in energy, real estate, data and beyond. Together, we master velocity.

We achieve our mission by building flawless, AI-powered systems. Our technology is already far more advanced than that of boutique services firms, but we are only getting started and the road from here leads to becoming world's best Service-as-Software company. Regardless of the specific role, our ideal candidate will always have a keen interest in building symbiotic human-AI systems both individually and for teams; high energy, high agency and a certain passion for bending time.

The Role

We are initiating a rapid, 12-week hypothesis-driven transformation cycle designed to stabilize and economically optimize a complex North American supply chain relaunch for a large enterprise client.

As the Solutions Architect, you will define the technical blueprint that makes this transformation possible. You will be accountable for designing the secure cloud environment, shaping the system architecture across data, modelling, and application layers, and ensuring the decision engine is robust enough to move from pilot validation into production use. Working closely with Data Engineers, Business Analysts, Full Stack Engineers, and QA, you will turn a fragmented operational landscape into a secure, auditable, and scalable solution that drives speed, efficiency, and fiscal gain.

Key Responsibilities

Solution Architecture: Own the end-to-end architecture across data ingestion, storage, model services, optimization logic, and user-facing applications.
Secure Environment Design: Define and oversee a single-tenant cloud environment that supports rapid delivery while meeting strict requirements for security, access control, auditability, and data isolation.
Data Platform Collaboration: Work alongside the Data Engineering Lead to shape the canonical schema, integration patterns, and transformation rules required to unify historical freight, order, inventory, and rate card data.
Decision Engine Design: Architect how predictive models, business rules, and optimization solvers work together to produce clear, defensible recommendations under real operational constraints.
Production Hardening: Establish the non-functional requirements for performance, resilience, monitoring, deployment, rollback, and release readiness so the platform can operate reliably beyond the pilot phase.
Cross-Functional Technical Leadership: Translate business requirements and operational logic into clear technical decisions, guiding engineering teams on trade-offs, sequencing, and implementation standards.

What We’re Looking For

Required Skills and Experience

8+ years of experience in Solutions Architecture, Platform Architecture, or senior software engineering, with a strong track record of designing secure, production-grade enterprise systems.
Cloud Expertise: Hands-on experience designing and deploying systems in AWS and/or Azure, including identity, network segregation, secrets management, and secure environment configuration.
Technical Breadth: Strong working knowledge of Python-based services, APIs, PostgreSQL or similar data stores, and modern web application architectures.
Systems Thinking: Proven ability to design end-to-end solutions that connect data pipelines, business logic, analytics or machine learning components, and operational user interfaces.
Integration Experience: Practical experience working around enterprise systems such as ERP, WMS, CRM, or logistics platforms, especially in environments where data is fragmented and source systems cannot be changed easily.
Domain Knowledge: Previous experience working with supply chain, logistics, fulfilment, or ERP-heavy operational environments is highly preferred. You should understand the realities of freight flows, inventory positioning, allocation logic, warehouse constraints, and the downstream cost of operational exceptions.
Regulated Delivery: Good judgment around auditability, deterministic workflows, traceability, and release control in environments where technical decisions must be explainable and reviewable.
Agile Execution: Ability to work effectively in fast, hypothesis-driven delivery cycles where the focus is on proving value quickly without creating unnecessary technical debt.
AI-Native Workflow: Comfort utilizing LLM code assistants and agentic engineering to improve speed, quality, and architectural clarity.

Our Culture & Benefits
We believe that breakthrough results are driven by breakthrough experiences. Our culture is built on a foundation of freedom, high performance, and our seven core values.
Our Core Values
- AI native - We use AI as a natural extension of our abilities to deliver faster, smarter, and better work.
- Delivering joy - We underpromise and overdeliver, creating delight for our clients and our team.
- Smooth & fast - We believe speed is the result of precision, flawless systems, and calm execution - not frantic effort.
- Selfless - We proactively make work easier for others and measure our success by the success of the team.
- Candid - We are direct, honest, and clear with each other, believing that transparent feedback is a gift.
- Pursuing excellence - We are obsessed with quality and empower each other to break through boundaries and set new standards.
- Ever evolving - We are relentlessly curious and improve every single week, sharing our learnings openly to elevate the entire organization.
Benefits & Perks
- Work from anywhere, forever - We are a fully remote and global team. We trust you to manage your time and energy to deliver exceptional results.
- Connect deeply - We gather for immersive, all-expenses-paid company retreats in unique locations to connect, learn, and grow together.
- Share in the upside - A competitive compensation package including equity, bonuses, substantial participation in company profits with a clear growth path to C-Level leadership based on performance.

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More about this job

Responsibilities

The Solutions Architect will design the end-to-end technical blueprint, including secure cloud environments, data platforms, and decision engines for enterprise clients. They will provide cross-functional technical leadership to guide engineering teams through hypothesis-driven transformation cycles.

Requirements

Candidates must have 8+ years of experience in solutions or platform architecture with strong expertise in cloud environments and Python-based services. Proficiency in integrating enterprise systems like ERP or logistics platforms and a background in supply chain operations are highly preferred.

Skills

Solutions architecture
Cloud architecture
AWS
Azure
Python
PostgreSQL
API development
Systems thinking
Data engineering
Supply chain management
Logistics
ERP systems
Agile methodology
AI-native workflow
Technical leadership

Benefits

Remote work
Company retreats
Equity
Bonuses
Profit sharing

Remote locations

Canada
Brazil
New York, United States

Remote locations (standardized)

Brazil
Canada
New York, New York, United States

Visa sponsorship

Not detected in the job text

Keywords

Solutions Architect
AWS
Azure
Python
PostgreSQL
API
Cloud Computing
Supply Chain
Logistics
ERP
WMS
CRM
Data Engineering
Machine Learning
Predictive Models
Optimization Solvers
Agile
LLM
Agentic Engineering
System Architecture
Data Isolation
Auditability
Enterprise Systems
Freight
Inventory Management

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