Architect AI DevOps

Ericsson; Kolkata District; Presencial; INR 3.000.000 - 4.600.000; Jornada completa

Descripción de la vacante

Ericsson is seeking an Architect – AI and DevOps to shape scalable, secure AI solutions for enterprise environments in Kolkata, India. You will define end-to-end AI architectures, guide adoption of Generative AI, LLMs and automation, and collaborate with engineering, product and security teams to deliver reliable, production-ready platforms.

You will design enterprise AI systems, implement retrieval-augmented generation, orchestration, and secure integrations, while promoting automation, DevOps

Formación

• Experience designing and implementing enterprise AI, ML, cloud or DevOps solutions.
• Strong understanding of AI and ML 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.

Responsabilidades

• 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.

Conocimientos

AI Architecture

DevOps practices

Python

PyTorch

TensorFlow

Prompt engineering

RAG

CI/CD

Docker

Kubernetes

Security

Herramientas

Docker

Kubernetes

Git

Ansible

CI/CD tools

AWS

Descripción del empleo

Join our Team

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.
• 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.

The skills you 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.

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: India (IN) || Kolkata