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Appian Developer with AI*
- Toronto, ON, Canada
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Job details
- Job type
- Contract
- Closing date
- Work location
- Toronto Hybrid - 2-3 days in office
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Appian Developer with AI*
Toronto Hybrid - 2-3 days in office
Skills: Digital : Appian BPM - Business Process Management(BPM)
Experience Required: 6-8
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.
Thanks & regards,
Lakshmi Bhavani ,
Apptoza Inc.
Phone: 678-392-3978 Ext 4640
Phone: 437-291-3224 Ext 1105
Mail id : Lakshmi.bhavani@apptoza.com
More about this job
Responsibilities
Support the stability and reliability of AI-enabled production systems by monitoring applications, models, and data pipelines; troubleshooting incidents; and assisting with root cause analysis and remediation. Contribute to model updates, releases, operational automation, documentation, and collaboration with technical and business teams while maintaining service continuity and compliance.
Requirements
The role requires 6–8 years of experience and skills in Appian BPM and business process management. It also involves supporting AI/ML systems in production, including monitoring models and data pipelines, troubleshooting incidents, and assisting with releases, documentation, and responsible AI practices.
Skills
- Appian BPM
- Business Process Management
- AI System Support
- Production Support
- Incident Troubleshooting
- Root Cause Analysis
- AI/ML Model Monitoring
- Data Pipeline Monitoring
- Model Drift Detection
- Prompt Tuning
- Model Deployment
- Release Management
- Data Governance
- Responsible AI
- Runbook Documentation
- RPA
Visa sponsorship
Not detected in the job text
Hiring contact
Lakshmi Bhavani
Hiring contact email
Lakshmi.bhavani@apptoza.com
Categories
- Technology
- Software
- Data & Analytics
- Customer Service & Support
Keywords
- Appian
- Business Process Management
- BPM
- Artificial Intelligence
- Machine Learning
- Production Systems
- Production Support
- L1/L2 Support
- Incident Management
- Root Cause Analysis
- Model Monitoring
- Model Drift
- Data Pipelines
- Data Quality
- Inference
- Generative AI
- Prompt Tuning
- Model Deployment
- Model Retraining
- Change Management
- Release Management
- Service-Level Agreements
- Runbooks
- RPA
- Intelligent Automation
- Data Governance
- Responsible AI
- Security
- Compliance