17 hours ago
Noida, India +2 moreStaff+
Responsibilities
- Define end-to-end AI and machine learning architectures for enterprise requirements involving performance, availability, security, scalability, and cost.
- 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.
- Contribute to automation and AI solution proposals, presales estimates, statements of work, and compliance documentation for the telecom service domain.
- Establish automated delivery pipeline standards 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, and human-approval practices into solutions.
- Promote monitoring, logging, performance improvement, observability, and production troubleshooting.
- Communicate architectural decisions and support teams in delivering consistent, production-ready 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, and problem-solving skills across technical and business teams.
- Academic credentials, if provided, must be from recognized and accredited institutions and are subject to verification.
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.