About this opportunity
Join our team as an Architect - AI and DevOps, helping define and deliver secure, scalable and cost-effective AI solutions for enterprise environments. You will shape architectural standards and guide the adoption of Generative AI, large language models, intelligent agents and automation across technology platforms and delivery processes.
Working with engineering, product, security and platform teams, you will connect strategic goals with practical solutions that are reliable, maintainable and ready for production.
What you will do
Define end-to-end AI and machine learning architectures that meet requirements for performance, availability, security, scalability and cost.
Design enterprise solutions using large language models, prompt engineering, model tuning, efficient model deployment and secure integration.
Consulting & Business Generation: Work with Customer Units to propose Automation and AI Solutions & capabilities in the Telecom Service Domain. Contribute to creation of End to end solution, presales estimates and work on Statement of Work and compliance document.
Architect knowledge solutions using Retrieval-Augmented Generation, embeddings, vector databases and semantic search.
Design intelligent agents, tool integrations and workflow orchestration using APIs and the Model Context Protocol.
Establish standards for automated delivery pipelines covering source control, testing, security checks, artifact management, deployment and validation.
Design cloud-native solutions using AWS, Azure or Google Cloud, Docker, Kubernetes and microservices.
Guide infrastructure automation, configuration management and Infrastructure as Code using Ansible and related tools.
Embed privacy, access control, security, compliance and responsible AI practices, including human approval where appropriate.
Promote effective monitoring, logging, performance improvement and production troubleshooting.
Communicate architectural decisions clearly and support teams in delivering consistent, high-quality solutions.
You will bring
Experience designing and implementing enterprise AI, machine learning, cloud or DevOps solutions.
Strong understanding of AI and machine learning architecture, deep learning, large language models and modern AI applications.
Proficiency in Python and practical experience with PyTorch or TensorFlow.
Experience with prompt engineering, Retrieval-Augmented Generation, embeddings, vector databases, model integration and performance optimization.
Knowledge of AI agent frameworks, workflow orchestration, tool calling, API integration and the Model Context Protocol.
Hands-on experience with Git, Ansible, CI/CD design, Python or Bash scripting, JSON and YAML. GitLab experience is an advantage.
Familiarity with code quality and security tools, artifact repositories and container registries.
Experience with AWS, Azure or Google Cloud, Docker, Kubernetes, microservices, networking and identity management.
Knowledge of Ubuntu and Red Hat Enterprise Linux environments, monitoring, logging, observability and production support.
Strong communication, collaboration and problem-solving skills, with the ability to work across technical and business teams.
"All academic credentials must be from recognized and accredited institutions and are further subject to verification."
Skills Required
- Experience designing and implementing enterprise AI, machine learning, cloud, or DevOps solutions
- Strong understanding of AI and machine learning architecture, deep learning, large language models, and modern AI applications
- Proficiency in Python and practical experience with PyTorch or TensorFlow
- Experience with prompt engineering, Retrieval-Augmented Generation, embeddings, vector databases, model integration, and performance optimization
- Knowledge of AI agent frameworks, workflow orchestration, tool calling, API integration, and the Model Context Protocol
- Hands-on experience with Git, Ansible, CI/CD design, Python or Bash scripting, JSON, and YAML
- Experience with AWS, Azure, or Google Cloud, Docker, Kubernetes, microservices, networking, and identity management
- Knowledge of Ubuntu and Red Hat Enterprise Linux environments, monitoring, logging, observability, and production support
- Familiarity with code quality and security tools, artifact repositories, and container registries
- Strong communication, collaboration, and problem-solving skills across technical and business teams
- Academic credentials from recognized and accredited institutions, subject to verification
- GitLab experience
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as broad and reliable, with multiple medical plan choices, dental/vision, and mental-health/EAP resources. Available descriptions highlight healthcare and disability insurance as consistent strengths.
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Retirement Support — U.S. materials point to an automatic company 401(k) contribution plus matching that can add up to a notably high employer contribution, and some regions also offer pension options. This structure is often cited as a meaningful component of total rewards.
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Leave & Time Off Breadth — Time-off programs are characterized as generous, with sizable vacation allowances, paid holidays, sick time, volunteer time, and strong parental leave in some locations. PTO is frequently highlighted as a standout element of the package.
Ericsson Insights
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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Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
