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About the Role

Support the implementation, deployment, and ongoing operation of components for Agentic AI solutions across AWS and Snowflake. Move approved Agentic AI use cases from prototype into production environments, focusing on Python automation, cloud deployment, data integration, monitoring, and production support.

Responsibilities

Support the implementation and integration of approved Agentic AI solutions within enterprise applications.
Configure and maintain Python-based automation scripts and integration components used by Agentic AI workflows.
Connect Agentic AI solutions with approved enterprise systems, services, and data sources.
Support retrieval workflows using enterprise documents and structured data stored or processed through platforms such as Snowflake.
Assist with data integration workflows involving Snowflake, Informatica Cloud, and approved enterprise data sources.
Troubleshoot integration issues involving model services, tools, data sources, and data pipelines.
Follow established engineering standards for version control, logging, exception handling, testing, and documentation.
Support the deployment of Agentic AI workloads using existing CI/CD pipelines, containers, and approved AWS and Snowflake deployment patterns.
Assist with environment validation, testing, releases, troubleshooting, and operational handover.
Implement and maintain application logging, metrics, dashboards, and alerts using established standards.
Monitor service failures, runtime errors, retrieval performance, token usage, and data-processing issues.
Investigate technical issues involving integrations, prompts, tools, data retrieval, Snowflake workloads, Informatica Cloud workflows, and supporting cloud services.
Collaborate with Data Engineering, Security, Architecture, Cloud, and Ops teams to support data access, integrations, and production readiness.
Support applications through deployment and ongoing production operations while following approved security, access-control, and environment standards.
Maintain deployment documentation, operational procedures, and support runbooks.

Requirements

University degree in Computer Science, Software Engineering, Information Technology, or equivalent experience.
1-3 years of experience in software development, cloud engineering, DevOps, or a related technical role.
Good Python development skills and experience building scripts, automation solutions, or integration components.
Basic knowledge of Agentic AI concepts such as prompting, Retrieval-Augmented Generation, tool calling, and structured outputs.
Experience with Git, GitHub Actions, CI/CD pipelines, Docker or Podman, and SQL.
Experience integrating REST services, backend systems, or enterprise applications.
Exposure to managed AI/ML platforms such as Amazon Bedrock, AgentCore, or SageMaker, along with core AWS services is an asset.
Familiarity with Agentic AI frameworks, MCP, observability/evaluation tools, and production tracing is an asset.
Experience with infrastructure automation using Terraform or CloudFormation is an asset.
Familiarity with Snowflake AI/data capabilities and Informatica Cloud integration workflows is an asset.

Skills

Python development
Scripting
Automation solutions
Integration components
Agentic AI concepts
Prompting
Retrieval-Augmented Generation
Tool calling
Structured outputs
Git
GitHub Actions
CI/CD pipelines
Docker
Podman
SQL
REST services integration
Backend systems integration
Enterprise applications integration
AWS services
Data integration
ETL concepts
ELT concepts
Structured data
Cloud-based application environments
Logging
Monitoring
Troubleshooting
Problem-solving
Documentation
Communication

Location

Remote

Work Type

100% remote

Experience Level

1-3 years of experience

Education Level

University degree in Computer Science, Software Engineering, Information Technology, or equivalent experience

Salary/Compensations

$101,000 to $118,000

Benefits

Competitive annual salary range
Discretionary performance bonus
RRSP contribution after 6 months of employment (no employee matching required)
Flexible working arrangements
Comprehensive health benefits starting on the first day with 100% employer-paid premiums
Up to $5000 annually for mental health services and therapy
Parental leave top-up to 100% of salary for 25 weeks
Up to $650 for home office equipment
Generous time off policy
2 paid days annually to volunteer at a charity of choice
Diversity and inclusion programs
Employee Resource Groups
Extensive professional development opportunities
Access to over 11,000 training and development courses
Tuition reimbursement
Monetary rewards for completing a required designation

About the Company

Fidelity has been helping Canadian investors build better financial futures for over 35 years.
Offers individuals and institutions a range of trusted investment portfolios and services.
A privately owned company that embraces innovation.
A diverse and dedicated group of people who make a real difference for clients and communities.
Offers opportunities to grow and develop careers in an inclusive environment.
Named one of Canada’s Top 100 employers for the last five years.
Uses AI-enabled LinkedIn Hiring Assistant and an AI screening tool to support the sourcing and screening process.

Equal Opportunity

Fidelity Canada is an equal opportunity employer.
Fidelity Canada is committed to fostering a diverse and inclusive workplace.
Will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans’ status, Aboriginal/Native American status or any other legally-protected ground.
Welcomes and encourages applications from people with disabilities.
Accommodations are available on request for candidates taking part in the selection process.