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Added 42 mins ago
WG
Mill Operations Supervisor
Wesdome Gold Mines Ltd
Wawa, ON
- $111,350 to $144,100 CAD / year
- Full-time
…Solution Operations (Cyanidation & Merrill Crowe), Filtered Stack Tailings, Equipment Operations, Reagent Circuits, and…
Added 56 mins ago
DE
AI Engineer
Digital Era Management & Technology Inc
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Contract
Building a multi-agent AI platform on Azure. The work covers the full stack:
Added 57 mins ago
BC
Marketing Manager
Boast Capital LP
Vancouver, BC · Toronto, ON
- $110,000 to $130,000 CAD / year
…with our purpose-built AI, Boast helps clients capture the full value of their R&D, organize the evidence behind it, and build high-quality, defensible claims. Our technology reduces manual…
Added 57 mins ago
B
Staff Software Engineer - Full-Stack, Solution Architecture
Blazesoft
Concord, ON
- Full-time
…customers. You will own product features end-to-end across the full stack - leveraging AI agents to multiply delivery throughput - while architecting robust, highly-available systems on a…
Added 2 hours ago
T
Analyste Des Systèmes D'affaires (BSA) / Business Systems Analyst (BSA)
TEKsystems
Montreal, QC
- $80 to $90 CAD / hour
- Contract
…Asie, qui collaborent avec nous dans le cadre de nos capacités full-stack et notre rythme. Nous sommes des penseurs stratégiques, des collaborateurs pratiques qui aident les clients à…
Added 3 hours ago
P
Technology Strategy & Transformation, Manager
PwC
Calgary, AB
- Full-time
…Agentic AI reinvention; Infrastructure (AIOps/SRE); Digitization; Full Stack Software…
Added 3 hours ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…cost governance, exploring hosting open-source LLMs in our stack, evaluating a potential rewrite of the service in a different language for performance gains, and keeping pace with the…
Added 4 hours ago
C
Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
- Full-time
Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, GitHub Copilot).
Added 5 hours ago
Senior Cyber Security Specialist
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Calgary, AB · Burnaby, BC · Stellarton, NS · Mississauga, ON
Sobeys is full of exciting opportunities, and we are always looking for bright new talent to join our team! We currently have a full time opportunity for a Senior Cyber Security Specialist.…
Added 9 hours ago
KI
Intern Developer, Back End Technologies
Kinaxis Inc.
Ottawa, ON
- Internship
…who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are…
Added 9 hours ago
P
Full Stack Developer
PwC
Toronto, ON · Ottawa, ON · Calgary, AB
- Full-time
As a Full Stack Developer, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to:
Added 9 hours ago
C
Full Stack Developer (Java + Angular)
CGI
Halifax, NS
- Full-time
CGI is seeking a highly skilled and experienced Senior Full Stack Engineer to join our growing team. In this role, you will leverage your expertise in Java, Spring Boot, Microservices,…
Added 9 hours ago
B
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 9 hours ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 10 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
What this role is and is not: This is a hands-on full-stack developer role with some upfront solution design and architecture responsibilities. Most of your time will be spent building,…
Added 11 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…technical standards. The ideal candidate will combine deep full-stack backend development expertise with modern cloud-native design patterns and AI integration…
Added 11 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
We are looking for a Full Stack Developer with experience building modern web applications and GenAI solutions. The ideal candidate is strong in Python, FastAPI, React, and TypeScript, with…
Added 11 hours ago
N
Member of Technical Staff
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…for AI (GPT-in-a-Box). This high-performant Machine Learning full-stack cloud platform helps you optimise IT costs with a software-defined cloud operating model. Harness AI-ready…
Added 12 hours ago
A
Mechanical Design Engineer
Actalent
Ottawa, ON
- $50 to $65 CAD / hour
- Contract
Own assigned projects through the full product lifecycle, from concept generation and feasibility studies to production release and ongoing product support.
Added 13 hours ago
CL
FULLSTACK AI DEVELOPER
Collège LaSalle, Montréal
Portage-du-Fort, QC
- Full-time
2 years of concrete experience within the Full-Stack AI ecosystem, agentic workflows, and proficiency with modern tools such as Claude Code, Cursor, Lovable, Supabase, or similar; profiles…
Added 13 hours ago
SR
Senior Robotics Engineer
Strive Robotics
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for a senior robotics engineer to own major parts of the intelligence and control stack for robots performing complete manufacturing workflows. You will work across…
Added 13 hours ago
FP
Software Engineer
Found People Inc.
Toronto, ON
- $110,000 to $140,000 CAD / year
- Full-time
The work combines Python, AI, financial data, APIs, microservices and portfolio analytics, with opportunities to contribute across the full stack.
Added 13 hours ago
W
Machine Learning Engineer Intern
Workday
Toronto, ON · Vancouver, BC · Canada, BC, Vancouver
- Full-time
Contribute across the full machine learning lifecycle, from data processing and experimentation through model and system deployment
Added 13 hours ago
W
Software Development Engineer Intern
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…real-world solutions and experience what it's like to be a developer at Workday. You'll work closely with a team of experienced engineers and product managers to grow your technical skills…
Added 14 hours ago
SI
Senior Software Engineer (Frontend), Search
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…cutting-edge search, recommendations, and generative AI features. This full stack team builds and owns the end-to-end discovery experience across Scribd and Everand, turning machine…

Closed listing

K&K Global Talent Solutions INC.

Data & Analytics Solutions Architect- AI/ML

Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Nov 8, 2026
Experience: 14+ years of experience in Enterprise Data Architecture, Open-Source Data Platforms, Distributed Data Processing, and Data Engineering.
Posting language: English
Posted: Oct 9, 2026

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Original job description

Archived listing. The details below describe a past opening.

Position: Data & Analytics Solutions Architect- AI/ML

Location: Toronto, ON (Hybrid)

Employment Type: Full-Time

Experience Required: 14 + Years

Position Overview:

We are seeking an experienced Data & Analytics Solutions Architect to lead the design and implementation of modern enterprise data platforms, advanced analytics solutions, and AI-driven architectures. The ideal candidate will have extensive experience in architecting large-scale open-source data ecosystems, distributed data processing platforms, Data Lakehouse architectures, and AI/ML-enabled analytics solutions.

Key Responsibilities:

Engage with business and technology stakeholders to understand data strategy, platform requirements, architecture goals, and transformation priorities.
Design and define end-to-end architecture for enterprise open-source data platforms supporting batch, streaming, analytics, and AI workloads.
Lead modernization initiatives covering data lakes, lakehouse platforms, distributed processing frameworks, and enterprise data ecosystems.
Architect scalable, secure, highly available, and resilient data platforms using open-source technologies and industry best practices.
Design data ingestion, integration, streaming, storage, and consumption patterns using technologies such as Spark, Kafka, Flink, NiFi, and Trino.
Establish data governance, security, metadata, lineage, privacy, and observability standards across the platform landscape.
Evaluate and recommend open-source technologies based on business requirements, scalability, supportability, interoperability, and total cost of ownership.
Define architecture standards, reference architectures, reusable frameworks, CI/CD practices, and DataOps operating models.
Provide technical leadership across data modeling, data engineering, platform implementation, migration, testing, deployment, and production readiness activities.
Drive platform performance optimization, capacity planning, reliability engineering, and operational excellence initiatives.
Conduct architecture reviews, identify risks early, and guide delivery teams on mitigation strategies and best practices.
Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops for strategic opportunities.
Collaborate with engineering teams, platform vendors, open-source communities, and client stakeholders to deliver scalable and sustainable solutions.
Mentor architects and engineers, contribute to technical capability development, and establish reusable accelerators, playbooks, and best practices.
Support hiring, technical assessments, and knowledge-sharing initiatives across Data Engineering, Open-Source Platforms, and Modern Data Architecture.
Assess candidate use cases with business, technology, data, and risk stakeholders; recommend BI, rules, analytics, ML, or GenAI based on feasibility, risk, cost, and measurable business outcomes.
Integrate data, ML, and GenAI reference architectures covering data sources, feature pipelines, models or LLMs, vector stores, serving layers, consuming applications, and enterprise integration points.
Partner with platform and operations teams to productionize AI ML and LLM workloads on Kubernetes.

Required Skills:

14+ years of experience in Enterprise Data Architecture, Open-Source Data Platforms, Distributed Data Processing, and Data Engineering.
Proven experience in Enterprise Solution architecture using Open source technology stack across the Data to Insights end to end value chain.
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Proven experience in designing and implementing open-source data platform architectures, including component selection, integration, scalability, interoperability, and platform modernization.
Deep understanding of batch, streaming, and real-time data processing architectures, including performance tuning, workload optimization, and failure recovery.
Experience building modern Data Lakehouse architectures using Apache Iceberg, Hudi, Delta Lake, object storage, and open table formats.
Strong knowledge of event-driven architectures, CDC, APIs, schema management, and enterprise integration patterns.
Expertise in DataOps practices, including Airflow orchestration, CI/CD, automated testing, observability, metadata management, lineage, and platform operations.
Experience with PostgreSQL, Cassandra, MongoDB, OpenSearch, and enterprise analytics platforms, including data modeling, indexing, workload management, and availability design.
Strong understanding of security, governance, and compliance, including RBAC, identity management, encryption, privacy controls, auditability, metadata governance, and vulnerability management.
Proven ability to lead architecture definition, HLD/LLD creation, NFR assessment, migration planning, technical governance, and production readiness activities.
Experience supporting large-scale data platform modernization, cloud migration, solutioning, RFP responses, effort estimation, and client-facing architecture discussions.
Good understanding of BFSI regulatory, security, resilience, privacy, and operational requirements.
Bachelor’s degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.
Preferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.
Experience assessing business use cases and selecting the appropriate approach across BI/KPI reporting, rules, statistical methods, forecasting, machine learning, and GenAI, with clear baselines, acceptance criteria, and measurable business KPIs.
Understanding of AI/ML platform architecture supporting feature engineering, model training, batch and real-time inference, and integration of ML and GenAI workloads with enterprise open-source data platforms.
Understanding of MLOps and LLMOps capabilities, including experiment tracking, model registry, feature stores, pipeline orchestration, automated quality gates, and versioning of data, models, and prompts using tools such as MLflow and Kubeflow.
Exposure to AI observability and monitoring for data drift, model drift, LLM quality, tracing, latency, availability, alerting, and operational runbooks.

About employer

More about this job

Responsibilities

Lead the architecture and modernization of scalable enterprise data platforms supporting batch, streaming, analytics, and AI/ML workloads, including lakehouse, governance, security, and operational capabilities. Provide technical leadership across solution design, delivery, production readiness, client engagements, and the development of teams and reusable architecture practices.

Requirements

Requires 14 or more years of enterprise data architecture, open-source data platforms, distributed processing, and data engineering experience, with strong expertise in technologies such as Spark, Kafka, Flink, Airflow, and lakehouse formats. Candidates should also have experience with AI/ML and GenAI platform architectures, governance and security, platform modernization, and client-facing architecture work; a bachelor’s degree in a relevant discipline is specified.

Skills

Enterprise Data Architecture
Open-Source Data Platforms
Apache Spark
PySpark
Apache Kafka
Apache Flink
Apache Airflow
Apache NiFi
Trino
Data Lakehouse Architecture
Data Engineering
DataOps
AI/ML Architecture
MLOps and LLMOps
Kubernetes
Python

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Open-Source Data Platforms
Distributed Data Processing
Data Engineering
Apache Spark
PySpark
Apache Kafka
Apache Flink
Apache Airflow
Apache NiFi
Trino
Apache Iceberg
Apache Hudi
Delta Lake
Data Lakehouse
DataOps
Kubernetes
AI/ML
GenAI
MLOps
LLMOps
MLflow
Kubeflow
PostgreSQL
Cassandra
MongoDB
OpenSearch
BFSI
Data Governance
CI/CD

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