Bell Canada Enterprises is looking for a Senior AI DevOps Architect to serve as the architect and strategist for our AI/ML developer experience. You will define the vision, design the frameworks, and ensure the long-term success of our AI development lifecycle through innovative DevOps practices.
What You'll Do
- Proactively identify pain points in the developer journey and architect solutions to streamline workflows and enhance productivity.
- Design and implement AI-optimized CI/CD pipelines that automate build, test, and deployment processes.
- Integrate AI-powered tools to automate code reviews and identify errors, vulnerabilities, and style inconsistencies.
- Implement AI-driven systems for continuous security monitoring, enabling proactive threat detection.
- Evaluate and recommend new AI capabilities and tools that can enhance developer experience and operational efficiency.
- Collaborate with the Platform team to establish organizational standards, security policies, and governance frameworks.
- Develop and execute strategies to ensure widespread adoption of MLOps best practices across engineering teams.
- Guide and mentor intermediate engineers and provide expert consultation on complex MLOps challenges.
What We're Looking For
- Ability to define and articulate a long-term vision for AI/ML developer experience and architect robust, scalable solutions.
- Deep understanding of the end-to-end machine learning lifecycle, including data management, model development, training, deployment, monitoring, and governance.
- Proven ability to design, implement, and optimize sophisticated CI/CD pipelines specifically for AI/ML workloads.
- Experience with major cloud platforms (AWS, GCP) and services relevant to AI/ML, including containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, Ansible).
- Familiarity with a broad range of AI/ML frameworks, libraries, and platforms (e.g., TensorFlow, PyTorch, MLflow, Kubeflow, SageMaker, Vertex AI).
- Expertise in integrating security best practices throughout the AI/ML lifecycle, including threat detection and vulnerability management.
- Excellent ability to diagnose complex technical challenges, identify root causes, and develop innovative solutions.
- Demonstrated capability to lead technical initiatives, guide junior engineers, and provide expert consultation.
- Strong interpersonal and communication skills, with the ability to collaborate with engineering teams, platform teams, and stakeholders.
- A proactive approach to staying abreast of the rapidly evolving landscape of AI, ML, DevOps, and cloud technologies.
Nice to Have
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
- 7-10 years of experience in DevOps, Site Reliability Engineering, or Software Engineering roles.
- At least 3-5 years of direct experience implementing and managing MLOps practices for AI/ML projects.
- Proven track record of designing scalable CI/CD pipelines for complex applications, preferably including ML models.
- Hands-on experience with container orchestration platforms like Kubernetes.
- Experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation).
- Experience evaluating, selecting, and integrating new tools to improve developer workflows.
- Experience in defining and enforcing technical standards, policies, and governance frameworks.
- Experience mentoring engineers and leading technical discussions.
- Strong programming skills, particularly in Python.
- Familiarity with monitoring and logging solutions (e.g., Prometheus, Grafana, ELK Stack).
- Knowledge of security best practices in cloud and DevOps environments.
Technical Stack
- Cloud: AWS, GCP
- Infrastructure & Orchestration: Docker, Kubernetes, Terraform, Ansible
- AI/ML Frameworks & Platforms: TensorFlow, PyTorch, MLflow, Kubeflow, SageMaker, Vertex AI
- Programming & Monitoring: Python, Prometheus, Grafana, ELK Stack
Team & Environment
This role is part of the Customer Experience team and involves close collaboration with the Platform team.
Bell Canada Enterprises is an equal opportunity employer.
