AI Developer, Digital Enterprise

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We are seeking a highly skilled AI Developer to join our team and drive the design implementation and scaling of advanced AI solutions. This role combines in-depth coding expertise with a strong systems engineering mindset: youll own the execution of end-to-end AI platform lifecyclefrom infrastructure and MLOps pipelines to production deployment and ongoing performance optimization. Youll collaborate closely with solutions architects data scientists DevOps engineers and product owners to turn models into reliable secure and maintainable services at enterprise scale.

Major Responsibilities

• Design build and maintain AI/ML platform components (training clusters feature stores inference services GenAI vision RAG NLP).
• Develop and manage infrastructure-as-code for scalable deployments (Terraform ARM template)
• Implement and operate CI/CD pipelines for automated model training testing and deployment
• Integrate AI services with existing systems via APIs messaging and data pipelines
• Monitor performance reliability and model drift; establish alerting and incident-response runbooks.
• Optimize system performance through capacity planning performance tuning and disaster-recovery strategies
• Write and maintain high-quality reusable code and libraries (C# Python Java)
• Collaborate with cross-functional teams (Architect Data Science DevOps Security) and document system designs and SOPs.

Knowledge and Education

Completion of University Degree

• Bachelors or Masters degree in Computer Science Electrical/Computer Engineering or related field

Work Experience

3 to 5 Years of Work Related Experience

• 3 years in software engineering roles with 2 years building and operating AI/ML platforms
• Proven track record delivering production-grade AI services at scale

Skills and Competencies Required to Perform the Job

• Cloud Platforms: Proficiency with various cloud platform services for compute storage and networking (e.g. AWS Azure etc.)
• Containerization & Orchestration: Hands-on experience with Docker Kubernetes Helm
• Strong skills and knowledge in distributed system architecture integration software design patterns and object-oriented programming concepts and patterns. (Microservices Monolith Modular Monolith containerized applications etc.)
• MLOps: Building and managing pipelines using GitLab CI Argo CD MLflow
• Programming Languages: Advanced Python (including async and multithreading); familiarity with C# Python or Java.
• LLM Application & Agent Frameworks: Experience designing and implementing RAG/agentic workflows using LangChain and LangGraph (tooling chaining memory orchestration)
• Machine Learning Frameworks: Deep knowledge of TensorFlow PyTorch scikit-learn
• Data Engineering: Experience with Kafka Azure Data Factory Databricks and Beam for data ingestion and processing
• Monitoring & Observability: Implementing observability stacks (Azure Monitor Prometheus Grafana ELK) and alerting
• Security & Compliance: Securing data pipelines understanding of GDPR/CCPA implications
• Cross-Functional Collaboration: Effectively partner with Data Science DevOps Security and Product teams
• Technical Documentation: Clear authoring of runbooks SOPs and API specs
• Stakeholder Communication: Translating technical concepts into business terms for executives and non-technical audiences
• Presentation Skills: Leading demos technical deep dives and knowledge-sharing sessions
• Continuous Learning: Staying current with emerging AI/ML MLOps and platform engineering trends

Working Conditions and Environment

Travel

No Travel

Any Additional Information

• Excellent English in both spoken and written.
• Excellent problem-solving and decision-making abilities.
• Strong communication skills and the ability to lead cross-functional teams.
  

• Maintains safe work practices complies with Magna H&S requirements and participates in training and hazard reporting.

At Magna we believe that a diverse workforce is critical to our success. Thats why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications and in consideration of job requirements regardless of in particular color ancestry religion gender origin sexual orientation age citizenship marital status disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

As part of our commitment to a fair consistent and efficient recruitment process we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

If you have any questions or concerns about this process feel free to contact our Talent Attraction team.