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Added 21 mins ago
S
Full-Stack Developer (Part-Time)
Somaticore
Toronto, ON
- Part-time
Collaborate with the frontend on API design and integration.
Added 21 mins ago
LI
Software Developer - Full Stack - Senior
Lotus IT Solutions
Toronto, ON
- Contract
…Community Services Cluster, is seeking a Senior Full Stack Software Developer for an onsite engagement in Toronto. The successful consultant will design, develop, and maintain…
Added 21 mins ago
K
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
Write production-quality code to automate functional, integration, regression, API, and system-level testing.
Added 3 hours ago
J
Application Programmer
Jobgether
Canada
- Contract
Preferred integration and cloud experience: Experience integrating Dynamics 365 with enterprise applications, working with Microsoft Azure or other cloud modernization init
Added 4 hours ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…candidate will also contribute, when needed, to the development, integration, and evaluation of AI and machine-learning…
Added 4 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
…and fluid power systems, this role ensures seamless system integration and defect-free performance that supports customer…
Added 5 hours ago
Data Solutions Architect
Rogers Communications
Calgary, AB · Brampton, ON
…to shape practical, production-ready solutions across data, integration, and analytics…
Added 6 hours ago
C
Genesys Cloud CX Technical Lead
CGI
Toronto, ON
- Full-time
…specialized expertise in Genesys, CCaaS development, and Microsoft Azure. This role will lead the design, development, integration, and delivery of cloud contact centre solutions while…
Added 7 hours ago
BC
Business Intelligence Analyst – Finance, Corporate Solutions
BBA Consultants
Mont-Saint-Hilaire, QC · Mont-St-Hilaire, QC
- Full-time
Added 7 hours ago
M
Principal Product Manager
Microsoft
Vancouver, BC · Goodwood, ON
- Full-time
Microsoft's Azure Data engineering team is leading the transformation of analytics in the era of AI through products including Microsoft Fabric, Azure SQL Database, Azure Cosmos DB, Azure…
Added 7 hours ago
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Senior Developer
BMO
Toronto, ON · BMOPLACE
- Full-time
The Senior Developer is responsible for driving the end-to-end software development lifecycle, collaborating across functional teams to transform business requirements into technical…
Added 8 hours ago
2I
Senior ETL Developer
2iSolutions Inc.
Toronto, ON
- Contract
Our Toronto based client is hiring an Sr. ETL Developer for a 9-month contract opportunity.
Added 9 hours ago
RB
Principal Enterprise Architect
Royal Bank of Canada
Toronto, ON
- Full-time
Minimum of 12 years of experience in enterprise integration design, development, and implementation.
Added 9 hours ago
CM
Workflow Automation & IT Support Specialist
Colonnade Management Inc.
Ottawa, ON
- Full-time
…user experience. General IT support includes Microsoft 365, Azure, Entra, Intune, SharePoint, Windows, mobile devices, hardware, connectivity, and employee onboarding and offboarding. As…
Added 10 hours ago
YC
D365 Finance & Operations Sr. Analyst
Yoush Consulting
Toronto, ON
- Full-time
Experience with Dynamics 365 integration tools and techniques
Added 10 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
…and fluid power systems, this role ensures seamless system integration and defect-free performance that supports customer…
Added 10 hours ago
Y
Senior QA Automation Engineer (Playwright)
Yochana
Montreal, QC
- Full-time
Perform functional, regression, integration, and end to end testing
Added 11 hours ago
PS
D365 CE Technical Consultant
Pi Square Technologies
Montreal, QC
- Full-time
We are looking for a Senior Microsoft Dynamics Developer/Lead with expertise in building enterprise-level applications using Microsoft Dynamics and Power Apps. The successful candidate will…
Added 11 hours ago
T
Manager, IT Operations (Oracle & PostgreSQL Database Services)
TD
Mississauga, ON · Toronto, ON
- Full-time
Manage Oracle Cloud, Exadata, Linux, storage, and platform integration as required.
Added 12 hours ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
Current Salesforce certifications such as Platform Administrator, Data 360 Consultant, Data Architect, Integration Architect, Agentforce Specialist, Platform Developer I/II
Added 12 hours ago
T
Test Automation Consultant
Tekshapers
Toronto, ON
- Contract
CI/CD integration experience with Jenkins, Azure DevOps, or equivalent platforms.
Added 12 hours ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…candidate will also contribute, when needed, to the development, integration, and evaluation of AI and machine-learning…
Added 12 hours ago
C
Senior Organic Analyst
COFOMO
Quebec, QC
- Full-time
Participate in the evaluation and integration of new solutions and products.
Added 12 hours ago
B
Intern, R&T - Tool Development, Aircraft System Architecture (Winter 2027)
Bombardier
Montreal, QC
- Volunteer
…model and manage system interfaces, functional exchanges, and integration data across complex aircraft…
Added 12 hours ago
A
Senior Azure Applications Developer : Toronto/Markham ON : Contract
AceStack
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Job Role : Senior Azure Applications Developer

NTT DATA North America

AI Solution Architect/FDE (AWS and Azure)

Toronto, ON, Canada

Apply About employer

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Job details

Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Solution Architect/FDE (AWS and Azure) to join our team in Toronto, Ontario (CA-ON), Canada (CA).

Job Description:
We are seeking an experienced AI Lead/Solutions Architect to drive artificial intelligence and machine learning initiatives across RBC. This role requires a strategic leader who can architect AI solutions, mentor teams, and translate complex technical concepts into business value. The ideal candidate will have proven experience in AI/ML engineering, full-stack development, and cross-functional project leadership.

Key Responsibilities:

Technical Leadership:
• Lead R&D efforts in AI/ML applications for financial services, including document intelligence and automated decisioning systems
• Architect end-to-end AI solutions from model design to scalable deployment using modern frameworks
• Drive technical innovation through experimentation with cutting-edge methods including RAG, multi-agent systems, and transformer architectures
• Establish and maintain deployment pipelines for AI model implementation and monitoring

Project Management & Strategy:
• Lead complex AI projects from conception to production, including solution architecture and system design
• Coordinate cross-functional teams including ML engineers, backend developers, data scientists, and business stakeholders
• Develop project roadmaps, load planning, and optimization strategies for AI implementations
• Ensure smooth integration from prototyping to production environments
Team Development & Mentoring
• Mentor junior engineers and foster a culture of applied innovation and technical excellence
• Guide team members in understanding AI/ML concepts and their business applications
• Provide technical leadership in algorithm selection, model evaluation, and best practices
• Support professional development through code reviews, technical writing, and knowledge sharing

Required Qualifications:

Technical Skills:

Programming: Expert-level Python proficiency; experience with JavaScript, SQL, and web technologies
AI/ML Frameworks: PyTorch, TensorFlow, Keras, HuggingFace Transformers, LangChain
Development: FastAPI, Django, Flask, RESTful API design and development
Data Technologies: PostgreSQL, data processing pipelines, ETL processes
Specialized AI: NLP, computer vision, retrieval-augmented generation (RAG), multi-agent systems

Experience Requirements:
• 10+ years of professional software development or relevant research experience with strong Python background
• 3+ years of hands-on AI/ML engineering experience in production environments
• Proven track record of leading technical teams and complex AI projects
• Experience with full-stack development and system integration
• Background in mentoring and developing technical talent

Preferred Qualifications:
• Publications or research contributions in AI/ML conferences or journals
• Experience in financial services or regulated industries
• Experience with document processing, PDF parsing, and text extraction
• Familiarity with prompt engineering and large language model optimization
Key Competencies
• Strong analytical and problem-solving abilities
• Excellent communication skills for technical and non-technical stakeholders
• Ability to work effectively in both collaborative and independent environments
• Strategic thinking with focus on business impact and ROI
• Commitment to continuous learning in rapidly evolving AI landscape

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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More about this job

Responsibilities

Lead AI and machine learning initiatives for financial services, designing end-to-end solutions and guiding their development, deployment, and monitoring. Manage complex projects and cross-functional teams, mentor engineers, and promote technical innovation and business-focused outcomes.

Requirements

Requires 10 or more years of software development or relevant research experience, including at least three years of hands-on AI/ML engineering in production, strong Python skills, and experience leading technical teams and complex projects. Candidates should also have full-stack development and system integration experience; financial services, document processing, research contributions, and large language model optimization are preferred.

Skills

Python
Artificial Intelligence
Machine Learning
Solution Architecture
PyTorch
TensorFlow
Keras
Hugging Face Transformers
LangChain
FastAPI
Django
Flask
RESTful API Development
PostgreSQL
Retrieval-Augmented Generation
Multi-Agent Systems

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Python
JavaScript
SQL
PyTorch
TensorFlow
Keras
Hugging Face Transformers
LangChain
FastAPI
Django
Flask
RESTful APIs
PostgreSQL
Data Processing Pipelines
ETL
Natural Language Processing
Computer Vision
Retrieval-Augmented Generation
Multi-Agent Systems
Transformer Architectures
Document Intelligence
Automated Decisioning
Model Deployment
Model Monitoring
Prompt Engineering
Large Language Models
Financial Services
Full-Stack Development

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