AI Architect

• Grow with us

Within 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?

Come, and be where it begins.

About this opportunity:

Within 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.

Your 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.

What you will do:

• Translate stakeholders' visions into comprehensive AI/ML/Generative AI architectural strategies and implementation roadmaps, aligning with business objectives and digital transformation goals.
• Partner 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.
• Evaluate and select optimal technologies from open-source and commercial options, considering deployment models, cost efficiency, and integration with existing infrastructure.
• Drive the successful execution and continuous improvement of AI-centric applications using agile methodologies.
• Collaborate with security and risk management teams to identify potential risks, promote ethical AI practices, and ensure compliance with relevant regulations.
• Guide project teams through technical reviews, design approvals, and governance processes, maintaining standards for data privacy, security, and regulatory compliance in AI solutions.
• Build and maintain relationships with key stakeholders, contributing to business development efforts such as proposal development.
• Lead and mentor diverse teams in an inclusive environment, recognizing individual contributions and fostering growth.
• Support the development of team members through hands-on guidance and structured training programs.

The skills you bring:

• Bachelor's degree in computer science, engineering, or a related field.
• 10+ years of experience in software development.
• 3+ years of experience as an AI Architect.
• Track record of working in architecture roles, presenting designs to stakeholders, technical authorities, or review boards.
• Experience building enterprise-integrated solutions that deliver complete end-to-end value.
• Proven expertise in architecture disciplines, including designing scalable and performant AI/ML systems.
• Solid background in data science with deep knowledge of AI/ML concepts.
• Working knowledge of using the current state-of-the-art machine learning frameworks such as Tensorflow, Keras, scikit-learn, Pytorch, etc.
• Hands-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).
• Proficiency in architecting cost-optimized, scalable solutions using serverless technologies, Containerization, and Cloud Infrastructure.
• Working knowledge of generative AI, including deployment and hosting of large foundational models.
• Proven expertise in LLM architectures (e.g., Transformers, GANs, VAEs), fine-tuning, Retrieval Augmented Generation (RAG), Context embedding, vector databases, and semantic search tools.
• Strong coding skills in Python for robust AI development and packaging.
• Experience with LangChain and LangGraph frameworks.
• Demonstrated ability to implement MLOps practices for end-to-end model lifecycles (training, testing, monitoring, and iteration).
• Experience with Cloud MLOps platforms (Vertex AI, SageMaker, etc.) and other MLOps platforms: MLFlow, Kubeflow, KServe, Seldon, DVC, CometML, etc.
• Deep understanding and hands-on experience in building Microservices based applications following the API First approach for serving ML models.
• Proficiency with loading data from different data repositories: SQL Databases, Data Warehouses, and Data Lakes.
• Proficiency in classic DevOps, CI/CD practices, and Test Automation.
• Professional certifications in AI/ML technologies on cloud platforms (e.g., AWS, GCP, or Azure).
• AWS certifications like AWS Certified Solutions Architect - Professional, AWS Certified Solutions Architect - Associate, or other relevant certifications would be a strong asset.
• Excellent stakeholder management, cross-functional collaboration, and leadership skills (including coaching, facilitation, and program delivery).
• Strong communication skills to work effectively with multidisciplinary teams.
• Experience contributing to go-to-market activities, such as RFI/RFP responses and proposal development.
• Knowledge of Agile Software Development Methodologies.

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.

Primary country and city: Egypt (EG) || Cairo

Req ID: 789625