AI Developer, Digital Enterprise

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What we offer:

Group Summary:

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: you’ll own the execution of end-to-end AI platform lifecycle—from infrastructure, and MLOps pipelines to production deployment and ongoing performance optimization. You’ll 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

• Bachelor’s or Master’s 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.
   

Health & Safety Responsibilities

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

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s 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.

AI-Assisted Screening Disclosure

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.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

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