Canada Life is seeking an experienced Appian Technical Lead to design| develop| and lead enterprise-grade Appian solutions supporting digital transformation and platform modernization initiatives| including integration with systems such as OnBase. This role provides technical leadership to ensure scalable| high-performing| and secure low-code applications aligned with enterprise architecture standards.
Role Descriptions
Define Appian architecture standards| design patterns| and best practices Lead the design and development of scalable Appian applications and workflows Guide development teams on Appian implementation| performance tuning| and optimization Design and implement integrations between Appian and enterprise systems (e.g.| OnBase| APIs| databases) Ensure application security| data integrity| and compliance with enterprise standards Establish development governance| CI/CD practices| and deployment standards Collaborate with enterprise architects| business stakeholders| and product teams Review and approve solution designs to ensure alignment with enterprise architecture Lead troubleshooting| performance tuning| and issue resolution Drive reusable component development and platform best practices adoption
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2. Appian BPM - Business Process Management(BPM)
Skills: Digital : Appian BPM - Business Process Management(BPM) Experience Required: 8-10
Role Descriptions
Design| develop| and maintain enterprise applications using the Appian
Design| develop| low code platform Build scalable| record centric
Design| develop| applications using Appian best practices
Develop SAIL interfaces| process models| records| reports| and integrations Translate business requirements into functional and technical solutions Lead design discussions and perform code reviews Optimize application performance| security| and scalability Support deployments across Dev| QA| and Production environments Provide mentorship and technical guidance to junior developers Collaborate with business stakeholders| architects| QA| and DevOps teams Support UAT| production issues| and continuous improvement initiatives
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- Appian Developer with AI
Role Descriptions
Supports stability and reliability of AI-enabled production systems by assisting with fixes| validating model behavior| and participating in root cause analysis for both application and model-related issues under guidance.
Assists in troubleshooting and resolving production issues (L1/L2)| including AI/ML model failures| data pipeline issues| and inference errors| escalating complex problems as needed to meet SLAs.
Monitors applications| AI models| and data pipelines| identifying anomalies such as model drift| data quality issues| or performance degradation| and supports implementation of preventive measures.
Contributes to problem management by documenting recurring issues| including AI model inaccuracies or failures| and assisting in root cause analysis and remediation.
Supports performance and stability of systems by implementing minor enhancements| model updates| prompt tuning (for generative AI)| or configuration fixes under supervision.
Assists with change and release activities| including model deployments| retraining updates| and configuration changes| ensuring smooth and low-risk production releases.
Collaborates with cross-functional teams| including data scientists| ML engineers| and business stakeholders| to support issue resolution and maintain service continuity.
Maintains and updates runbooks| documentation| and knowledge articles| including AI model behavior| monitoring thresholds| and troubleshooting steps.
Supports automation initiatives by identifying repetitive operational tasks and leveraging AI| scripts| or tools (e.g.| RPA| intelligent automation) to improve efficiency.
Learns and applies best practices in AI system support| including model monitoring| data governance| and responsible AI| while adhering to security and compliance standards.
Provides regular updates on assigned tasks| incidents| and AI system performance to senior team members| while continuously developing skills in AI/ML| data handling| and production support practices.