{"id":3109837,"url":"https://alion.io/job/ericsson-enterprise-platform-architect-devops","title":"Enterprise Platform Architect DevOps","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":83,"open_postings":107,"ghost_share":0,"stale_share":0.692,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-24T06:02:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India","Kolkata, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Red Hat","optional":false},{"name":"Semantic Search","optional":false},{"name":"TensorFlow","optional":false},{"name":"Ubuntu","optional":false}],"status":"live","first_seen_at":"2026-10-02T03:04:48Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T23:06:15Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Join our Team\nAbout this opportunity\nJoin 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.\nWorking with engineering, product, security and platform teams, you will connect strategic goals with practical solutions that are reliable, maintainable and ready for production.\nWhat you will do\nDefine end-to-end AI and machine learning architectures that meet requirements for performance, availability, security, scalability and cost.\nDesign enterprise solutions using large language models, prompt engineering, model tuning, efficient model deployment and secure integration.\nConsulting & 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.\nArchitect knowledge solutions using Retrieval-Augmented Generation, embeddings, vector databases and semantic search.\nDesign intelligent agents, tool integrations and workflow orchestration using APIs and the Model Context Protocol.\nEstablish standards for automated delivery pipelines covering source control, testing, security checks, artifact management, deployment and validation.\nDesign cloud-native solutions using AWS, Azure or Google Cloud, Docker, Kubernetes and microservices.\nGuide infrastructure automation, configuration management and Infrastructure as Code using Ansible and related tools.\nEmbed privacy, access control, security, compliance and responsible AI practices, including human approval where appropriate.\nPromote effective monitoring, logging, performance improvement and production troubleshooting.\nCommunicate architectural decisions clearly and support teams in delivering consistent, high-quality solutions.\nYou will bring\nExperience designing and implementing enterprise AI, machine learning, cloud or DevOps solutions.\nStrong understanding of AI and machine learning architecture, deep learning, large language models and modern AI applications.\nProficiency in Python and practical experience with PyTorch or TensorFlow.\nExperience with prompt engineering, Retrieval-Augmented Generation, embeddings, vector databases, model integration and performance optimization.\nKnowledge of AI agent frameworks, workflow orchestration, tool calling, API integration and the Model Context Protocol.\nHands-on experience with Git, Ansible, CI/CD design, Python or Bash scripting, JSON and YAML. 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