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Added 5 months ago
K
Manager, Data Platform(s) Architect, Data & AI
KPMG
Calgary, AB · Vancouver, BC
- Full-time
Expert skills in SQL, Python, and distributed data processing.
Added 4 months ago
K
Senior Consultant, Financial Crimes - Data Analytics
KPMG
Ottawa, ON · Montreal, QC · ON · Toronto, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 4 months ago
K
Senior Consultant, Financial Services-Insurance & Wealth & Asset Management
KPMG
ON · Toronto, Ontario
- Full-time
Working with tools such as Power BI, Tableau, Alteryx, SQL, Python, Power Platform, Copilot, ChatGPT Enterprise, or similar platforms.
Added 4 months ago
K
Manager, Financial Crimes- Data Analytics
KPMG
Ottawa, ON · Montreal, QC · ON · Toronto, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 4 months ago
K
Senior Manager, Data Analysis & Audit Productivity
KPMG
Winnipeg, MB · Saint John, NB · Fredericton, NB · Moncton, NB · Sudbury, ON · Hamilton, ON · Parry Sound, ON · Kingston, ON · Sault Ste. Marie, ON · North Bay, ON · London, ON · Toronto, ON · Windsor, ON · Ottawa, ON · Oakville, ON · Vaughan, ON · Waterloo, ON · Perth, ON · St. Catharines, ON · Swift Current, SK · Regina, SK · Saskatoon, SK · Vanderhoof, BC · Langley (District), BC · Prince George, BC · Fort St. John, BC · Victoria, BC · Chilliwack, BC · Abbotsford, BC · Vernon, BC · Kamloops, BC · Burnaby, BC · Vancouver, BC · Quesnel, BC · Kelowna, BC · Halifax, NS · St. John's, NL · Edmonton, AB · Calgary, AB · Lethbridge, AB · ON · Langley, British Columbia · Kanata, Ontario
- Full-time
Added 4 months ago
K
Consultant, Financial Crimes - Data Analytics
KPMG
Ottawa, ON · Montreal, QC · ON · Toronto, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 3 months ago
K
Senior Consultant, Disputes & Investigations
KPMG
Hamilton, ON · Kitchener, ON · London, ON · Oakville, ON · Toronto, ON · Vaughan, ON
- Full-time
Excellent computer skills (MS Excel, PowerPoint, Word and Access). Additionally, experience with data analytics, SQL database or eDiscovery software such as Relativity is an asset.
Added 3 months ago
K
Senior Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
…platforms, data pipelines, monitoring tools, scripting (Python/SQL), AI-assisted development, and advanced development…
Added 2 months ago
BC
BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
Added 2 months ago
S
Lead Data Scientist
Sanofi
Toronto, ON
- Full-time
Strong programming skills in Python or Java or other enterprise programming languages SQL/NoSQL query, familiarity with Spark, REST APIs, Golang, NodeJS, Angular, Typescript etc.
Added 2 months ago
S
AI Engineer
Sanofi
Toronto, ON
- Full-time
Strong software engineering and programming skills in Python or Java or other enterprise programming languages SQL/NoSQL query, familiarity with Spark, REST APIs, Golang, NodeJS, Angular,…
Added 2 months ago
JG
Java Lead- With GenAI Tools
J&M Group
Toronto, ON
- Full-time
…practices that improve delivery velocity, software quality, and developer…
Added 2 months ago
G
Java Spark Developer
Genpact
Montreal, QC
- Full-time
Inviting applications for the role of Java/ Spark Developer role.
Added 2 months ago
N
Bilingual (English/French) Associate Director, Retail Analytics
NielsenIQ
Toronto, ON
- Full-time
Experience with SQL, Databricks, Python, or other analytical programming tools.
Added 2 months ago
PI
MLOps & Data Engineer
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Hands-on experience designing and accessing production data systems using SQL, data models, schemas, and multiple database or storage approaches.
Added 2 months ago
O
BI & Data Analyst (12 Months Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
We are a leading global real estate investor, developer and manager. We combine our capital with our capabilities to create real estate that strengthens economies and communities. By…
Added 2 months ago
A
Senior Product Manager, Security - RICOCHET - Central Technology
Activision
Vancouver, BC
- Other
Working knowledge of SQL, data analysis tools, or scripting for investigation and validation
Added 2 months ago
AB
Senior Product Manager, Security - RICOCHET - Central Technology
Activision Blizzard
Vancouver, BC
- Other
Working knowledge of SQL, data analysis tools, or scripting for investigation and validation
Added 2 months ago
KM
Services &Solutions Sales Executive Team Lead/Chef d’équipe des ventes de services et solutions (GTA)
Konica Minolta Business Solutions, U.S.A., Inc.
Mississauga, ON
- Full-time
Added 2 months ago
KC
Business Systems Analyst – ERP & Business Intelligence
Kinetic Custom Trailers
Penticton, BC
- $80,000 to $100,000 CAD / year
Added 2 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Vector Databases: Production experience setting up, optimizing, and querying Vertex AI Vector Search, or managed vector stores like Milvus, Pinecone, and pgvector (Cloud SQL/Spanner).
Added 1 month ago
W
Associate Analyst - Inventory
Wesco
Richmond, BC
- Full-time
Maintains production reports, makes approved changes to report data by modifying Teradata SQL, formatting Excel macros, and Access databases.
Added 2 months ago
CP
Senior Analyst
Capital Power
Calgary, AB
- Full-time
Advanced analytical and coding skills that can include coding / using VBA, SQL, R, Python languages.
Added 2 months ago
T
IGA Development Engineer
TD
Toronto, ON
- Full-time
We are seeking an experienced Full Stack Developer with a strong background in both front-end and back-end development, coupled with expertise in Java, Oracle, Unix, and a range of…
Added 2 months ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
30% - Data Engineering & Pipeline Ownership Architecting and owning production SQL pipelines, data models, and data cubes; designing and operating Airflow DAGs; setting the bar for data…

J&M Group

Java Lead- With GenAI Tools

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Feb 16, 2027
Posting language: English
Posted: Aug 20, 2026

Original job description

About the Role ClientLink is a mission-critical wealth management platform that supports portfolio accounting, investment operations, and client servicing across the enterprise. As part of our strategic modernization journey, we are transforming the platform using modern architecture, event-driven integration, cloud-native technologies, and an enterprise AI Engineering Platform that accelerates software delivery through reusable AI capabilities, standardized engineering workflows, and governance.

We are seeking an experienced Principal Technical Lead AI & Platform Modernization to lead this transformation. This role combines deep technical expertise, people leadership, software architecture, and AI-enabled engineering to deliver the next generation of ClientLink.

As the senior technical leader, you will define the technical vision, lead an engineering team, establish engineering standards, and drive the adoption of AI-enabled software engineering practices that improve delivery velocity, software quality, and developer productivity.

Key Responsibilities

Technical Strategy & Platform Modernization

Define and execute the technical strategy for the modernization of the ClientLink platform.

Lead the transformation of legacy applications into modern, scalable, resilient, and maintainable solutions.

Establish architecture principles, engineering standards, and modernization roadmaps aligned with enterprise technology strategies.

Drive the adoption of API-first, event-driven, and cloud-native architectural patterns.

Balance innovation with operational stability by reducing technical debt while delivering business value.

Evaluate emerging technologies and recommend strategic investments that strengthen the platform and improve engineering effectiveness.

AI Engineering Platform Leadership

Lead the evolution and adoption of the enterprise AI Engineering Platform to modernize the software development lifecycle.

Drive the use of AI-enabled capabilities across requirements analysis, solution architecture, software design, code generation, testing, documentation, and platform modernization.

Define reusable AI capabilities, including domain-specific skills, plugins, workflows, prompts, and engineering guardrails that enable secure, consistent, and high-quality software delivery.

Establish governance and best practices for responsible AI adoption, ensuring compliance with enterprise security, risk management, and software engineering standards.

Champion AI-enabled developer productivity while maintaining human oversight, technical accountability, and engineering excellence.

Continuously evaluate emerging AI technologies and identify opportunities to improve software quality, accelerate delivery, and modernize legacy platforms.

Technical Leadership

Serve as the principal technical authority for ClientLink modernization initiatives.

Lead architectural design, solution reviews, and technical decision-making across multiple workstreams.

Ensure solutions align with enterprise architecture, security, resiliency, scalability, and operational standards.

Establish engineering best practices for software design, coding, testing, DevSecOps, CI/CD, observability, and production readiness.

Guide complex technology decisions and provide technical leadership throughout the software development lifecycle.

Mentor Technical Leads and Senior Software Engineers in modern engineering practices and architecture.

Engineering Leadership

Lead, coach, and develop high-performing software engineering teams.

Foster a collaborative, innovative, and accountable engineering culture.

Support hiring, mentoring, performance management, succession planning, and career development.

Build organizational capability through technical coaching and knowledge sharing.

Encourage continuous improvement, engineering excellence, and innovation across the development organization.

Delivery Leadership

Partner with Product Owners, Business System Analysts, Enterprise Architects, Infrastructure, Security, and Operations teams to deliver strategic modernization initiatives.

Translate business priorities into technical roadmaps and executable delivery plans.

Lead technical planning, estimation, risk management, and dependency management across multiple concurrent initiatives.

Ensure solutions are delivered with high quality, predictable execution, and operational readiness.

Provide technical leadership during production implementations and major incident resolution.

Qualifications

Experience

Bachelor s degree in Computer Science, Software Engineering, or a related discipline.

10+ years of progressive software engineering experience, including the design and delivery of large-scale enterprise applications.

5+ years of technical leadership experience leading engineering teams and strategic technology initiatives.

Proven success modernizing complex enterprise platforms using modern architectural patterns.

Experience leading cross-functional teams in Agile software delivery environments.

Technical Expertise

Strong hands-on experience with several of the following technologies and practices:

Java and Spring Boot

RESTful APIs

Event-driven architecture and Apache Kafka

Microservices and distributed systems

Oracle, SQL Server , PostgreSQL, and MongoDB

Cloud platforms (Azure, AWS, or Google Cloud)

Docker and Kubernetes

GitHub Enterprise and modern source control practices

CI/CD pipelines and DevSecOps

Infrastructure as Code

Enterprise integration patterns

Performance engineering and application observability

Secure software engineering and cybersecurity best practices

AI Engineering Experience

Experience designing, implementing, or adopting enterprise AI capabilities within the software development lifecycle, including:

AI-enabled software engineering platforms

Large Language Models (LLMs) supporting software development

AI-assisted requirements analysis, solution design, code generation, testing, and documentation

Development of reusable AI capabilities such as skills, plugins, prompts, workflows, and engineering guardrails

Governance frameworks for responsible AI adoption within enterprise engineering organizations

Leadership Competencies

The Successful Candidate Will Demonstrate

Strategic technology leadership

Strong software architecture and design expertise

Exceptional technical problem-solving and analytical skills

Experience influencing technical direction across multiple teams

Outstanding communication and stakeholder management skills

Ability to mentor and inspire engineering teams

Passion for innovation, continuous improvement, and engineering excellence

Ability to balance strategic planning with hands-on technical leadership

Preferred Qualifications

Experience within financial services, wealth management, capital markets, or enterprise banking platforms.

Experience modernizing mission-critical legacy applications.

Knowledge of portfolio accounting, investment operations, or securities processing.

Experience implementing enterprise AI platforms and modern engineering productivity solutions.

Experience leading cloud transformation and enterprise integration initiatives.

Success Measures

In This Role, The Candidate Will

Define and execute the modernization strategy for the ClientLink platform.

Accelerate software delivery through enterprise AI-enabled engineering capabilities.

Build and mentor high-performing engineering teams.

Improve platform scalability, resiliency, security, and operational excellence.

Reduce technical debt through structured modernization initiatives.

Establish engineering standards that improve software quality, consistency, and maintainability.

Deliver strategic technology outcomes aligned with business priorities.

Position ClientLink as a modern, AI-enabled wealth management platform that supports future innovation and growth.

Apply About employer

More about this job

Responsibilities

Lead the technical strategy and modernization of the ClientLink wealth management platform using cloud-native and event-driven architectures. Drive the adoption of an enterprise AI Engineering Platform to accelerate software delivery and improve developer productivity.

Requirements

Requires a bachelor's degree and over 10 years of software engineering experience, with at least 5 years in technical leadership. Must have deep expertise in Java, Spring Boot, and the implementation of AI capabilities within the software development lifecycle.

Skills

Java
Spring Boot
Generative AI
Large Language Models
Microservices
Apache Kafka
Cloud Native Architecture
Azure
AWS
Google Cloud
Docker
Kubernetes
DevSecOps
CI/CD
Software Architecture
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Java
Spring Boot
GenAI
LLM
Apache Kafka
Microservices
RESTful APIs
Oracle
SQL Server
PostgreSQL
MongoDB
Azure
AWS
Google Cloud
Docker
Kubernetes
GitHub Enterprise
CI/CD
DevSecOps
Infrastructure as Code
Event-Driven Architecture
Wealth Management
Portfolio Accounting
Agile
Software Modernization
Enterprise Architecture
Observability
Cybersecurity
AI Governance
Technical Debt

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