AI Architect at Ericsson

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architect, Software Development, AI/ML Systems, Data Science, Machine Learning, Cloud-Based Solutions, MLOps, Microservices, DevOps, CI/CD, Python, Generative AI, Transformers, Agile Methodologies, Stakeholder Management, Cross-Functional Collaboration

Industry

Telecommunications

Description

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. 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. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. learn more. Primary country and city: Egypt (EG) || Cairo Req ID: 778625

Responsibilities

The AI Architect will design and implement scalable AI/ML systems and enterprise-integrated solutions. They will also present designs to stakeholders and ensure the delivery of end-to-end value.