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Added 13 mins ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
…organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and operationalization of enterprise AI…
Added 13 mins ago
A/
Lead Applied Scientist – Signal Processing & Machine Learning
AquaEye / VodaSafe Inc
Vancouver, BC · Greater Vancouver, BC
- $120,000 to $180,000 CAD / year
- Full-time
Added 15 mins ago
BP
Lead Applied Scientist - Signal Processing & Machine Learning- AquaEye
BLANKSLATE Partners
Remote, Canada
- Full-time
- Remote
Added 45 mins ago
C
Senior Project Manager
CBTS
Toronto, ON
- Full-time
Exposure to AI or GenAI project delivery - such as AI readiness/maturity assessments, AI strategy roadmaps, model deployment, MLOps, or AI governance frameworks - is strongly preferred.
Added 1 hour ago
AI Solution Architect / FDE (AWS and Azure) -
NTT DATA Services
Toronto, ON
Added 1 hour ago
CL
Data Scientist
Clevanoo LLC
Toronto, ON
- Contract
Python + Advanced AI/ML + Cloud (AWS/GCP/Azure) + SQL/Snowflake + ML Deployment/MLOps + Production Software Development + Business Communication
Added 2 hours ago
DI
Senior Applied Intelligence Platform Engineer
Dawn InfoTek
Toronto, ON
- Contract
MLOps/LLMOps, CI/CD, Infrastructure as Code, evaluation, observability, and cloud-native engineering.
Added 3 hours ago
ZS
Python & Java AI Developer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Implement MLOps and LLMOps practices, including version control, CI/CD, containerization, model and prompt versioning, monitoring, and incident support.
Added 3 hours ago
AI Engineer
Bell
Toronto, ON
Continuous Learning: An active habit of staying current with fast-moving foundation model capabilities, agent protocols, and developer tooling.
Added 3 hours ago
L
Senior Director Information Technology
lululemon
Vancouver, BC
- Full-time
Hands on experience with cloud platforms (AWS, GCP, Azure), and MLOps tools.
Added 3 hours ago
T
Senior Data Scientist
TechBlocks
Vaughan, ON
- Contract
Exposure to MLOps and model governance frameworks.
Added 4 hours ago
T
AVP, Analytics, Insights and AI, AI Product
TD
Toronto, ON
- Full-time
Ability to constructively challenge architecture, integration, cloud/platform, API, reliability, security and cost trade-offs without being the principal engineer or model developer.
Added 4 hours ago
AT
Senior AI Engineer
Arkhya Tech Inc.
Canada
- Full-time
Familiarity with MLOps, CI/CD, and responsible AI practices.
Added 5 hours ago
Senior Data Scientist
Momentum Financial Services Group
Toronto, ON
Added 6 hours ago
R
Delivery Lead - Data & AI
Raise
Mississauga, ON
- Full-time
…semantic modelling, Power BI, analytics, ML model lifecycles, MLOps, APIs, CI/CD, data quality and production…
Added 7 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
Familiarity with AI/ML solutions and modern MLOps or software delivery practices
Added 15 hours ago
Director of Software Development R&D - AI
Siemens
Saskatoon, SK
…engineers, EDA domain experts, agentic systems architects, and MLOps/AgentOps engineers. Drive disciplined execution, reusable platform investment, product-quality engineering practices,…
Added 15 hours ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 20 hours ago
B
AI Specialist
BrainFinance
Montreal, QC
- Full-time
Work closely with MLOps and SecOps team members to deploy and resolve performance and security patches;
Added 1 day ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 1 day ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
Familiarity with AI/ML solutions and modern MLOps or software delivery practices
Added 1 day ago
TC
Data Scientist
Tech Consulting
Vancouver, BC
- $30 to $35 USD / hour
- Full-time
Familiarity with machine learning pipelines and MLOps concepts.
Added 1 day ago
C
AI Architect (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Develop robust MLOps/LLMOps pipelines with a constant focus on observability, performance profiling and automated testing.
Added 1 day ago
HT
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
- Full-time
Added 2 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)

AltaML

Manager, Software Engineering

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 3, 2026
Experience: 5+ years of software engineering experience, including at least 2 years in a technical lead or management role
Posting language: English
Posted: Sep 15, 2026

Original job description

Engineering @ AltaML - How We Work:

We are an AI-first company. Claude Code and AltaML's shared configuration and skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people use.
We expect dramatically higher productivity from working this way. A step change, not a marginal gain. That's the baseline we hire and promote against, not an aspirational ceiling.
We believe AI has compressed what used to take weeks into days, and what used to take days into hours. Estimates, sprint commitments, and delivery timelines should reflect that reality, not pre-AI habits.
Show us, don't tell us. As part of applying, share an example of your AI-assisted coding: a PR, a repo, a recorded session, or whatever best demonstrates how you actually work with AI day to day.
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.

About the Role:
AltaML is looking for a Manager, Software Engineering to lead a delivery pod where technical excellence and team health go hand in hand. You'll own the architectural integrity of your pod's solutions, clear the path for your engineers to do their best work, and keep delivery on time and on scope, all while operating at AltaML's AI-first standard for how fast and how well work gets done. This is a role for someone who can set the technical bar, grow a strong team, and keep clients and stakeholders confident in what your pod delivers.

Technical Execution & Oversight

Guide your pod on architectural decisions and set technical direction, ensuring solutions are robust, scalable, and aligned with company standards
Champion AI-assisted development as the default way of working, holding your pod to a standard where weeks compress to days and days compress to hours
Remove engineering blockers and facilitate cross-functional technical discussions to keep delivery on track
Partner with the delivery team to ensure on-time, on-scope delivery across all active projects
Lead or actively participate in cross-pod technical guilds (e.g., Frontend, AI/ML, DevOps)

People Leadership & Development

Run regular 1:1s with direct reports focused on career growth, performance, and wellbeing
Provide timely, constructive feedback and support individual development plans
Foster an inclusive, psychologically safe environment where engineers can do their best work

Responsible AI & Quality Assurance

Ensure models and systems are explainable, fair, and auditable throughout the solution lifecycle
Uphold and champion AltaML's Responsible AI guidelines and development best practices across the pod
Manage end-to-end solution quality in partnership with the pod lead, from design through deployment

Stakeholder & Client Coordination

Communicate pod progress, risks, and outcomes clearly to internal stakeholders and external clients
Maintain a strong communication loop with the delivery team to keep project requirements aligned
Support pre-sales and business development with solution architecture input, demos, and technical Q&A

Resource Planning & Hiring

Conduct hiring interviews and contribute to candidate assessment for engineering roles, evaluating for genuine AI-assisted development fluency
Assist with quarterly resource allocation planning across the pod

What You Bring:

5+ years of software engineering experience, including at least 2 years in a technical lead or management role
Fluent, hands-on use of AI coding tools (e.g., Claude Code or equivalent), with the ability to set - not just permit - that expectation for your team
A demonstrated track record of driving architectural decisions and maintaining engineering quality in a fast-paced delivery environment
Experience managing and growing engineers across different levels
Comfort engaging directly with clients and stakeholders, translating technical complexity into clear, confident communication
Familiarity with AI/ML solutions and modern MLOps or software delivery practices
A track record of championing responsible, ethical AI and inclusive team culture

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Lead a software engineering delivery pod by setting technical direction, maintaining architectural integrity and solution quality, removing blockers, and ensuring projects are delivered on time and within scope. Develop and support engineers, champion AI-assisted and responsible development practices, coordinate with clients and stakeholders, and contribute to hiring and resource planning.

Requirements

Requires at least five years of software engineering experience, including two or more years in a technical lead or management role, with hands-on fluency in AI coding tools. Candidates should have experience with architecture, engineering quality, people development, client communication, AI/ML or MLOps practices, responsible AI, and inclusive team culture.

Skills

Software Engineering
Technical Leadership
Software Architecture
AI-Assisted Development
Claude Code
Team Management
Career Development
Responsible AI
Quality Assurance
Client Communication
Stakeholder Management
Resource Planning
Hiring
AI/ML
MLOps
Solution Delivery

Visa sponsorship

Not detected in the job text

Keywords

Claude Code
AI-Assisted Coding
AI-First Development
Software Engineering
Software Architecture
Technical Direction
Scalable Solutions
Engineering Quality
Delivery Management
Project Scope
Cross-Functional Collaboration
Frontend
AI/ML
DevOps
Responsible AI
Explainable AI
Fairness
Auditability
Solution Quality Assurance
Deployment
Client Communication
Stakeholder Management
Pre-Sales
Solution Architecture
Hiring
Resource Allocation
MLOps
Career Development
Inclusive Culture

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