{"id":2473396,"url":"https://alion.io/job/ericsson-ai-architect","title":"AI Architect","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":82,"open_postings":88,"ghost_share":0,"stale_share":0.739,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","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":["6th of October City, Egypt","Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":310000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1099},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Comet ML","optional":false},{"name":"Cortex","optional":false},{"name":"Databricks","optional":false},{"name":"DVC","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Keras","optional":false},{"name":"KServe","optional":false},{"name":"Kubeflow","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seldon Core","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"Vertex AI","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-08-19T19:18:31Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T09:52:25Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Grow with us\nAs the Company at the forefront of the creation of the Mobile world, and with more than 60,000 patents to our name, we’ve made it our business to make a mark. Being part of Ericsson empowers you to learn, lead, and perform at your best, shaping future technology. Ericsson is an inclusive employer where you are recognized for the skills, talent, and perspective you bring to the team.\nWithin the Solution Area Cognitive Networks Solutions Software R&D (SA CNS SW R&D), we offer the opportunity to collaborate with highly qualified Global teams and to enable success stories for our customers. You will be exposed to groundbreaking technology (5G, ML/AI, Automation, and Cloud computing) and support the delivery of multiple Data-Intensive projects from our customer base and internal requirements. You must have the ability to perform hands-on Cloud and Data engineering tasks independently, coupled with the appropriate testing. Are you ready to write the future with us?\nCome, and be where it begins.\nAbout this opportunity:\nWithin Cognitive Software Engineering, we offer the opportunity to collaborate with highly qualified teams across the globe and contribute to success stories for our customers. As a SaaS System Architect, you will design and develop scalable and high-performing distributed cloud-based applications.\nYour deep understanding of software architecture will be essential in supporting multiple applications and customer scenarios, ensuring a seamless transition from development to production and maintenance. You will work closely with cross-functional teams, including product owners, domain experts, and technical leaders, to ensure reliability, scalability, and architectural excellence across our solutions.\nWhat you will do:\nTranslate stakeholders’ visions into comprehensive AI/ML/Generative AI architectural strategies and implementation roadmaps, aligning with business objectives and digital transformation goals.\nPartner with enterprise architects, application architects, data scientists, MLOps engineers, DevOps teams, and business stakeholders to deliver AI-centric SaaS use cases and refine architectural designs.\nEvaluate and select optimal technologies from open-source and commercial options, considering deployment models, cost efficiency, and integration with existing infrastructure.\nDrive the successful execution and continuous improvement of AI-centric applications using agile methodologies.\nCollaborate with security and risk management teams to identify potential risks, promote ethical AI practices, and ensure compliance with relevant regulations.\nGuide project teams through technical reviews, design approvals, and governance processes, maintaining standards for data privacy, security, and regulatory compliance in AI solutions.\nBuild and maintain relationships with key stakeholders, contributing to business development efforts such as proposal development.\nLead and mentor diverse teams in an inclusive environment, recognizing individual contributions and fostering growth.\nSupport the development of team members through hands-on guidance and structured training programs.\nThe skills you bring:\nBachelor’s degree in computer science, engineering, or a related field.\n10+ years of experience in software development.\n3+ years of experience as an AI Architect. \nTrack record of working in architecture roles, presenting designs to stakeholders, technical authorities, or review boards.\nExperience building enterprise-integrated solutions that deliver complete end-to-end value.\nProven expertise in architecture disciplines, including designing scalable and performant AI/ML systems.\nSolid background in data science with deep knowledge of AI/ML concepts.\nWorking knowledge of using the current state-of-the-art machine learning frameworks such as Tensorflow, Keras, scikit-learn, Pytorch, etc.\nHands-on experience deploying cloud-based AI/ML workloads on major platforms (e.g., AWS Bedrock and SageMaker, Google Vertex AI and PaLM, Azure OpenAI and Azure ML) or third-party solutions (e.g., Databricks, Snowflake Snowpark/Cortex, Dataiku, DataRobot).\nProficiency in architecting cost-optimized, scalable solutions using serverless technologies, Containerization, and Cloud Infrastructure.\nWorking knowledge of generative AI, including deployment and hosting of large foundational models.\nProven expertise in LLM architectures (e.g., Transformers, GANs, VAEs), fine-tuning, Retrieval Augmented Generation (RAG), Context embedding, vector databases, and semantic search tools.\nStrong coding skills in Python for robust AI development and packaging.\nExperience with LangChain and LangGraph frameworks.\nDemonstrated ability to implement MLOps practices for end-to-end model lifecycles (training, testing, monitoring, and iteration).\nExperience with Cloud MLOps platforms (Vertex AI, SageMaker, etc.) and other MLOps platforms: MLFlow, Kubeflow, KServe, Seldon, DVC, CometML, etc.\nDeep understanding and hands-on experience in building Microservices based applications following the API First approach for serving ML models.\nProficiency with loading data from different data repositories: SQL Databases, Data Warehouses, and Data Lakes.\nProficiency in classic DevOps, CI/CD practices, and Test Automation.\nProfessional certifications in AI/ML technologies on cloud platforms (e.g., AWS, GCP, or Azure).\nAWS certifications like AWS Certified Solutions Architect - Professional, AWS Certified Solutions Architect - Associate, or other relevant certifications would be a strong asset.\nExcellent stakeholder management, cross-functional collaboration, and leadership skills (including coaching, facilitation, and program delivery).\nStrong communication skills to work effectively with multidisciplinary teams.\nExperience contributing to go-to-market activities, such as RFI/RFP responses and proposal development.\nKnowledge of Agile Software Development Methodologies.\nWhy 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.\nWhat happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.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. 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