1 day ago
Kolkāta, IndiaStaff+
Responsibilities
- Define end-to-end AI and machine learning architectures meeting performance, availability, security, scalability, and cost requirements.
- Design enterprise solutions using large language models, prompt engineering, model tuning, efficient deployment, and secure integration.
- Architect Retrieval-Augmented Generation, embeddings, vector database, semantic search, intelligent agent, tool integration, and workflow orchestration solutions.
- 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, responsible AI, monitoring, logging, performance improvement, and production troubleshooting practices.
- Communicate architectural decisions and support engineering, product, security, and platform teams in delivering consistent 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 advantageous.
- 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, problem-solving, and cross-functional working skills.
Benefits
- The position is based in Kolkata, India.
- Ericsson describes opportunities to work on challenging, innovative solutions within a diverse and inclusive organization.
Categories
About Ericsson
Ericsson is a publicly traded telecommunications vendor that builds mobile network infrastructure (RAN, core, OSS/BSS), cloud platforms, and managed services for communications providers and enterprises. Founded in 1876 and headquartered in Kista, Stockholm, it supplies 5G systems to operators worldwide and owns Vonage, expanding network APIs and enterprise communications offerings.