Permanent Full Time
Reporting to the Director, AI Platform Engineering, the Senior AI Platform Developer plays a key role in designing, building, and operating the enterprise AI platform. This role is accountable for developing reusable AI capabilities, shared services, engineering patterns, and platform components that accelerate AI solution delivery while supporting security, reliability, observability, and compliance expectations.
This role provides senior technical leadership, hands on engineering expertise, and mentorship to developers and delivery teams, without requiring formal people management accountability.
What you will do- Design, develop, and maintain enterprise AI platform capabilities, services, and reusable technical components.
- Build shared accelerators, APIs, SDKs, templates, and reference implementations that enable consistent AI solution delivery across the enterprise.
- Implement platform capabilities for model integration, orchestration, retrieval augmented generation, prompt management, agent frameworks, and model lifecycle support.
- Develop automation and CI/CD patterns for building, testing, deploying, and operating AI based solutions.
- Support the integration of AI platforms with enterprise data, identity, security, monitoring, and infrastructure services.
- Partner with AI solution delivery, architecture, security, cloud, infrastructure, and data teams to onboard and support priority AI use cases.
- Implement observability, evaluation, telemetry, monitoring, and operational support patterns for AI solutions in production.
- Contribute to AI engineering standards, platform roadmaps, technical documentation, and reusable design patterns.
- Evaluate emerging AI technologies and recommend practical enhancements to enterprise platform capabilities.
- Mentor developers and help raise engineering quality through code reviews, technical guidance, and hands on support.
What you will bring- Degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
- 5 or more years of software engineering experience, with strong hands on development capability.
- 3 or more years of experience developing AI, machine learning, advanced analytics, or Generative AI solutions.
- Strong experience with Python, APIs, cloud native development, distributed systems, and modern software engineering practices.
- Experience with Azure AI Foundry, Azure OpenAI, Databricks, vector databases, model serving platforms, or similar technologies.
- Experience with DevOps, CI/CD, infrastructure as code, automated testing, and secure software delivery practices.
- Understanding of AI observability, model evaluation, prompt evaluation, monitoring, and operational support practices.
- Ability to translate architectural direction into practical, reusable engineering components.
- Strong collaboration, communication, and problem solving skills in a matrixed environment.
- Experience in financial services or another regulated industry is an asset.
The base salary for this position is between
$80,400 - $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.
Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.
#LI-Hybrid
Requisition ID: 6646
Category: Digital Technology
Location:
