About this opportunity:
We're seeking an experienced GenAI/AI Architect to lead the design and implementation of enterprise-scale artificial intelligence solutions. You'll own the complete architecture journey-from strategy through production deployment-working across technical and business teams to translate AI capabilities into measurable business value. This role is ideal for someone who combines deep technical expertise with the ability to navigate complex organizational landscapes and emerging technology trends.
What you will do:
• Design end-to-end architectures for production-grade GenAI/AI systems, establishing reference architectures and reusable patterns for enterprise adoption• Evaluate and recommend large language models, vector databases, and orchestration frameworks based on performance, cost, compliance, and security requirements• Architect retrieval-augmented generation (RAG) pipelines, agentic workflows, and multi-agent systems for scalable deployment• Collaborate with data scientists, security teams, developers, and business leaders to align technical solutions with organizational needs• Embed governance, privacy, and ethical frameworks into AI systems from design through deployment• Guide teams on model lifecycle management, including deployment strategies, monitoring, performance optimization, and handling model drift• Evaluate tools and frameworks for system integration and interoperability• Drive adoption of cloud-native AI services and optimize for scalability and performance• Stay informed on GenAI/AI advancements and regulations, translating insights into actionable strategic roadmaps
The skills you bring:
• Bachelor's or master's degree in computer science, statistics, engineering, or related field• Proven track record architecting large-scale AI/ML systems in production environments• Deep expertise in Python, machine learning frameworks (PyTorch, TensorFlow), and deep learning practices• Strong knowledge of large language model architectures, fine-tuning techniques, and deployment strategies• Hands-on experience with RAG pipelines, embeddings, and vector databases• Familiarity with agentic GenAI frameworks and integration protocols• Cloud architecture experience (AWS, Azure) and container orchestration (Docker/Kubernetes)• Solid understanding of MLOps principles: CI/CD pipelines, observability, model governance, and retraining workflows• Ability to communicate complex AI strategies effectively to technical and non-technical stakeholders• Demonstrated commitment to responsible AI, including governance and ethical considerations• Bonus: Experience scaling AI solutions in telecom or similar complex enterprise environments
Skills Required
- Bachelor's or master's degree in computer science, statistics, engineering, or related field
- Proven track record architecting large-scale AI/ML systems in production environments
- Deep expertise in Python
- Experience with PyTorch
- Experience with TensorFlow
- Strong knowledge of large language model architectures, fine-tuning techniques, and deployment strategies
- Hands-on experience with RAG pipelines, embeddings, and vector databases
- Familiarity with agentic GenAI frameworks and integration protocols
- Cloud architecture experience (AWS, Azure)
- Container orchestration experience (Docker, Kubernetes)
- Solid understanding of MLOps principles: CI/CD pipelines, observability, model governance, retraining workflows
- Ability to communicate complex AI strategies to technical and non-technical stakeholders
- Demonstrated commitment to responsible AI, governance and ethical considerations
- Experience scaling AI solutions in telecom or similar complex enterprise environments
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What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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