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Technical Lead – AI & Wealth Management Platform | LLM, Java, Kafka, Microservices
Job Location:
Monthly Salary:
Experience Required:
Posted:
21 August 2026 (12 days ago)
Posted:
Application Deadline:
18 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Technical Lead AI & Wealth Management Platform LLM Java Kafka MicroservicesToronto ON - Hybrid (4 Days WFO)
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
Bachelors 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.
Required Skills:
Sailpoint
