Architect AI DevOps

Technology, Data & Digital · IT Infrastructure & Security · DevOps · Machine Learning · Software Engineering

In short

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.

Responsibilities

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.
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.

Requirements

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.

Benefits

Outstanding opportunity to use your skills and imagination to push the boundaries of what's possible.
Chance to build solutions never seen before to some of the world’s toughest problems.
Will be challenged, but won’t be alone.
Joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

Skills

PythonPyTorchTensorFlowGitAnsibleCI/CDBashJSONYAMLGitLabAWSAzureGoogle CloudDockerKubernetesmicroservicesUbuntuRed Hat Enterprise Linux

#AI#DevOps#Architecture#Cloud#Machine Learning#Large Language Models#Generative AI#Automation#Scalability#Security#Cost-effectiveness

About Ericsson

Pioneering technology for connecting billions of people worldwide

Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible

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