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Added 1 month ago
Artificial Intelligence & Data Architect (Developer)
BMO
Toronto, ON · FCP
Hands on current capability to code (at least with Python)
Added 6 months ago
Q
Architect - Conversational AI
Quantiphi
Canada
- Full-time
…that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI - driving measurable…
Added 6 months ago
L
Senior Data Engineer - Gen AI
LTM
Ontario · Ontario, Canada
- $100,000 to $110,000 CAD / year
- Full-time
o Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas NumPy scikitlearn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain…
Added 6 months ago
WA
Insurance Underwriting AI Expert
Weekday AI (YC W21)
Canada
- Part-time
…will bring strong knowledge of underwriting fundamentals along with the ability to design, implement, and optimize intelligent systems that enhance decision-making, efficiency, and risk…
Added 6 months ago
WA
Capital allocation AI Expert
Weekday AI (YC W21)
Canada
- Part-time
…trade-offs and support leadership in making informed choices aligned with long-term business…
Added 6 months ago
Q
Staff AI Software Engineer (C++)
Qualcomm
Markham, Ontario
- Full-time
Experience with Python numpy and deep learning frameworks such as TensorFlow, PyTorch
Added 3 months ago
MS
Tech Lead - Commodities Technology (Hybrid)
Morgan Stanley
Montreal, Quebec
- Full-time
Experience with technologies such as Python, Shell scripting, or Scala is helpful; experience working in Linux environments is desirable
Added 3 months ago
FA
Software Engineer - Data
Forum Asset Management
Toronto, Ontario
- Full-time
Forum Asset Management is a North American investor, developer, and asset manager with a 30+ year track record of delivering long-term value through real estate, private equity, and…
Added 3 months ago
DI
AI Engineering Lead
Definity Insurance Company
Toronto, Ontario
- Full-time
Mastery of Python and deep experience with AI/ML frameworks, Proven ability to write clean, high-performance, and maintainable code in Python, Java, SQL, and Spark.
Added 3 months ago
SI
Data Scientist II
Scribd, Inc.
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Process massive amounts of data with Python, SQL and Spark
Added 2 months ago
OW
Oliver Wyman - Senior Lead AI Developer
Oliver Wyman
Montreal, QC
- Full-time
No two OW Quotient projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Senior Lead AI Developer, you…
Added 1 month ago
SS
Test Engineering Co-op
Skyworks Solutions, Inc.
Ottawa, ON
- Full-time
Familiarity with programming languages such as Python, C#, C++, or LabVIEW.
Added 1 month ago
G
Prompt Engineer
Genpact
Montreal, QC
- $70,000 to $75,000 CAD / year
- Full-time
…solutions including ML and Gen AI. The candidate should be familiar with python development, predictive analytics and prompt engineering. The candidate should be able to work with different…
Added 1 month ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
With millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping…
Added 4 months ago
M
NEW AI Deployment Strategist
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 4 months ago
M
{NEW} Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 3 months ago
C
AI Engineer
Cprime
Toronto, Ontario
- Contract
Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn,…
Added 3 months ago
TH
Senior AI Engineer - Full time
Trillium Health Partners
Mississauga, Ontario
- Full-time
…Mississauga Hospital and the Queensway Health Centre, along with several satellite locations, THP serves the growing and diverse populations of Mississauga, West Toronto and surrounding…
Added 4 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
…team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to…
Added 2 months ago
Staff Data Scientist
Toast
Canada
Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
Added 5 months ago
C
Geophysicist
CSMC
Waterloo, ON
- Full-time
…advance next generation micro nuclear reactors in partnership with leading institutions, alongside expanding a portfolio of technologies designed for remote environments, national defence,…
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
…of AI platform capabilities. This is your chance to engage with state-of-the-art AI technologies, influence organizational direction at the executive level, and make a lasting impact on the…
Added 2 months ago
Data Science Chief Expert, CX
SAP
Montreal, QC
Strong Python and SQL skills, including production-grade Python development and experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
Added 1 month ago
T
AI/ML Engineer I
TD
Toronto, ON
- Full-time
Programming skills with experience in API and Webhook development using Python, Git Actions and Terraform
Added 1 month ago
RB
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Deployment and Integration: Work on deploying LLMs and AI agents into production environments, ensuring seamless integration with existing systems and workflows.

BMO

Artificial Intelligence & Data Architect (Developer)

Toronto, ON, Canada
FCP, Canada

$85,500.00 - $185,000.00

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Job details

Pay: $85,500.00 - $185,000.00
Posting language: English
Posted: Sep 10, 2026

Original job description

Application Deadline:

09/29/2026

Address:

100 King Street West

Job Family Group:

Technology

Please note this is a hands-on Architect role; hands on coding experience is a must. Hybrid (2 days/week working in office downtown Toronto).

MUST HAVE: Architecture experience, AWS Cloud, production-grade Artificial Intelligence experience, Hands-on experience coding, SDLC, Data Architecture.

Contributes to AI Adoption and Enterprise Architecture from an AI and Data architecture perspective, while bringing their hands on Engineering skills to align business needs with technologies. Partners with internal stakeholders to define the technology capabilities, principles, standards, and guidelines regarding AI including machine learning and data architecture. Provide expert advice regarding AI and Data architecture in critical programs and initiatives. Validates solution architecture for adherence to defined policies, standards and guidelines including regulatory directives. Partners with broader internal stakeholders to define architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate, technically sound, and well-integrated.
- Lead the design of end-to-end AI solution reference architectures, integrating data architecture components such as data pipelines, model training, deployment, and monitoring.
- Apply innovative AI, data, and analytics technologies to enterprise platforms, aligning technical solutions with complex business and IT requirements.
- Develop and maintain the technical roadmap for enterprise platform capabilities to realize the organization’s AI and data vision.
- Support initiatives related to data acquisition, processing, and utilization through the enterprise AI and data platform.
- Define infrastructure requirements for AI systems; evaluate and select tools, platforms, and frameworks to ensure scalability, performance, and security.
- Serve as a technical thought leader in AI, machine learning, and data architecture, recognized for deep architectural expertise.
- Provide strategic advice and guidance to business units on the implementation of AI and data solutions.
- Ensure project deliverables align with target state architecture and challenge architectural decisions where necessary to uphold governance standards.
- Identify opportunities to enhance data architecture across diverse and complex business functions and processes.
- Build and maintain strong relationships with internal stakeholders across enterprise, technology, and business groups to ensure adherence to architecture standards.
- Monitor industry trends and emerging technologies to inform strategic decisions and recommend relevant innovations.
- Conduct research and proof-of-concept initiatives to evaluate emerging technologies and recommend their application.
- Perform additional responsibilities as required to support enterprise goals.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering.
- 10+ years of combined experience in software development, data engineering, architecture and Artificial Intelligence.
- 5 years experience as a Data Architect
- 2+ years experience delivering AI Architectures in production
- 3 years experience specific to AWS Cloud
- Hands on current capability to code (at least with Python)
- Production-grade experience with AI solutions
- Experience with GenAI, LLMs, or reinforcement learning in production environments and AI solution delivery.
- Proven experience architecting and deploying AI/ML solutions
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., Azure, AWS, GCP), and MLOps tools. Preferred certifications in cloud architecture or AI/ML.
- Proficiency in Python, SQL, and other relevant programming languages.
- Familiarity with APIs, and microservices.
- Experience with implementing disruptive technologies in an organization;
- Experience with Complex & high volume cloud implementations;
- Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.
- Exhibits knowledge of data architecture concepts and practices.
- Demonstrates knowledge of architecture frameworks, methodologies, and tools.

Salary:

$85,500.00 - $185,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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More about this job

Responsibilities

The role involves leading the design of end-to-end AI solution reference architectures and integrating data architecture components like pipelines and model deployment. The architect will partner with stakeholders to define technology standards, provide expert advice on AI initiatives, and ensure systems are technically sound and scalable.

Requirements

Candidates must have a Bachelor’s or Master’s degree in a technical field and over 10 years of combined experience in software development, data engineering, and AI. Proven hands-on coding ability in Python and production-grade experience with AI/ML solutions and AWS cloud architecture are mandatory.

Skills

Artificial Intelligence
Data Architecture
AWS Cloud
Python
Software Development
Machine Learning
MLOps
Data Engineering
SDLC
GenAI
LLMs
SQL
Microservices
APIs
PyTorch
TensorFlow

Benefits

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Data Architecture
AWS
Python
Machine Learning
MLOps
GenAI
LLMs
Reinforcement Learning
TensorFlow
PyTorch
Cloud Computing
Software Development
Data Engineering
SDLC
Microservices
APIs
SQL
Enterprise Architecture
Financial Services
Data Pipelines
Scalability
Governance
Reference Architecture
Proof-of-concept

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