Magna - Generative AI Solution Architect

Description : What We Offer :

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies.

We invest in our employees, providing them with the support and resources they need to succeed.

As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects.

Because we believe that your career path should be as unique as you are.

Group Summary :

Magna is more than one of the worlds largest suppliers in the automotive space.

We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team.

With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities :

The GenAI Solution Architect is a full-stack developer who will act as the technical visionary and hands-on leader, responsible for designing, building, and delivering comprehensive GenAI software solutions that create business value.

You will work closely with stakeholdersproduct managers, data scientists, solutions architects, UX / UI designers, and operations teamsto convert strategic goals into scalable architectures, utilizing both generative and traditional AI models alongside robust front-end and back-end systems.

Your primary responsibilities include defining system requirements and roadmaps, leading development across cloud-native microservices and user-facing applications, ensuring code quality and performance, and implementing best practices in security, observability, and CI / CD.

In this role, you will also mentor engineering teams, promote emerging AI capabilities, and continuously improve solution patterns to boost innovation and sustain our competitive advantage.

Major Responsibilities :

• Define and document end-to-end solution architectures for GenAI services and full-stack applications, including high-level diagrams, data flows, and technology stack decisions.
• Architect and manage scalable GenAI solutions using Azure services (e.g., AI Foundry, Apps Function, Storage Account, Cosmos DB, Azure AI search, Azure AI Services, AKS, VMs, Container Registry, etc.)
• Collaborate with product management and business stakeholders to refine requirements, prioritize features, and ensure alignment with strategic goals.
• Lead design and implementation of microservices, APIs, and user interfaces, leveraging cloud-native platforms (e.g., Azure or AWS) and container orchestration (e.g., Kubernetes, Docker).
• Select, evaluate, and integrate generative AI modelsfine-tuning, testing, and optimizing for production performance and cost efficiency.
• Establish and enforce engineering best practices around code quality, automated testing, CI / CD pipelines, and infrastructure-as-code (e.g., Terraform, ARM templates).
• Implement robust security, observability, and governance patterns, including identity management, data encryption, logging, and monitoring.
• Mentor and coach development teams on architectural patterns, coding standards, and GenAI models deployment techniques.
• Drive proof-of-concepts and pilot projects to validate new technologies, tools, and frameworks, then translate learnings into reusable solution patterns.
• Evangelize GenAI capabilities across the organizationconduct technical workshops, brown-bags, and architecture reviews to build internal expertise.
• Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Continuously assess emerging trends in GenAI, full-stack development, and cloud infrastructure to recommend enhancements and maintain a competitive technology roadmap.

Knowledge and Education :

Work Experience :

Skills And Competencies Required To Perform The Job :

Working Conditions and Environment : No Travel.

Any Additional Information :

(ref : hirist.tech)