Join our Team As 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. 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. What 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. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: Egypt (EG) || Cairo Req ID: 778625

Role Description Support our architectural and engineering teams in delivering thoughtful, functional, and innovative design solutions. - Contribute to project development from conceptual design through construction documentation, gaining valuable hands-on experience under the mentorship of licensed professionals. - Focus on projects in the field of: - Large Commercial / Public Sector - Federal/Dept of Defense / military - Community/Municipal projects (civic centers, libraries, govt’ buildings) - Education (higher education and K-12) - Justice - Residential - Workplace - Hospitality - Healthcare - Historic Restoration - Churches - Perform a variety of routine design assignments, with increasing responsibility, under the direction of a project manager or architect. - Work closely with senior designers to develop design solutions and implement them into drafted construction documents. - Support and assist project teams in the development of a project’s design, documentation, and administration during all phases of the project. - Work towards professional registration and career growth. - Telecommuting is permitted. Qualifications - Bachelor's Degree in Architecture - 3 years of experience required Requirements - 1 year of experience in Revit Proficiency - 3 years of experience in all phases of project design - 3 years of experience in all phases of construction documentation - 3 years of experience in construction materials - 20-30% domestic travel required to local sites within 50 miles of worksite address - Must have authority to work permanently in the U.S. Benefits - 40 hours/week - Salary: $85,384 – $91,393.92 per year - Telecommuting is permitted Company Description Applicants who are interested in this position may apply at https://www.jobpostingtoday.com/ Ref #80015.

Role Description This is not a slide-making or prompt-engineering role. We are looking for someone who has built multi-agent AI systems that run in production - not demos, not pilots that died after a sprint. You will anchor AI delivery programs end-to-end, work directly with global clients, and stay sharp on a field that changes every few weeks. You will report into and replicate the function of a senior AI delivery leader - which means you need both the depth to architect solutions and the presence to walk a CXO through what you built and why it works. Qualifications - Experience in building multi-agent AI systems in production - Ability to anchor AI delivery programs end-to-end - Experience working directly with global clients - Strong architectural skills to design solutions - Ability to communicate effectively with CXOs Requirements - Depth in AI solution architecture - Presence to engage with senior leadership Benefits - Inclusive workplace culture - Equal employment opportunity (EEO) - Affirmative action employer

Role Description As Power Architecture Lead for PMIC, you will own the IVR architecture end-to-end — power conversion topology, digital control engine and analog subsystems. You will work directly with the Head of Engineering, digital architecture leads, and analog design team, and engage foundry partners and key customers at the architecture level. This role requires equal fluency in power electronics and mixed-signal IC design. You will define the architecture, validate the tradeoffs across topology, packaging, and thermal constraints, and drive execution through tape-out. Key Responsibilities - Architecture & Definition - Define IVR architecture: multi-phase interleaved buck converter topology, phase count configurability, switching frequency selection, and efficiency targets across load conditions. - Architect the digital control engine: per-phase duty cycle control, current balance, DVFS sequencing, and transient response optimization for AI workload dynamics. - Define the control and telemetry interface. - Establish power domain architecture for multi-domain compute targets: phase allocation, rail sequencing, and cross-domain coordination. - Define input power spec, inrush management, and integration requirements for in-package passive components including integrated inductors. - Mixed-Signal & Analog Oversight - Define requirements for analog subsystems: gate drivers, current sensing (DCR / integrated sense), on-chip thermal diodes, and oscillator / clock generation. - Oversee integrated inductor evaluation and selection — saturation current, DCR, Q-factor, and co-design with converter switching frequency. - Establish PVT corner strategy and margin targets across process, voltage, and temperature for all analog blocks. - Drive analog-digital co-design: ensure digital control loop stability across all PVT corners with defined phase margin and gain margin targets. - Define ESD and latch-up protection strategy for high-current power bumps. - Implementation Oversight - Guide process node selection for Gen 1 and roadmap generations — evaluate tradeoffs between power density, analog capability, and cost. - Lead IP evaluation for gate driver, ADC, and reference blocks; define custom vs. licensed IP strategy. - Drive DFT strategy for power chiplet: stuck-at fault coverage, analog BIST for converter calibration, and production test requirements. - Define packaging integration requirements. - Customer & Ecosystem Engagement - Translate AI compute platform power delivery requirements into product specifications — engage customers at the architecture level to validate rail counts, current targets, and transient profiles. - Interface with foundry partners on process capability, passive integration options, and packaging design rules. - Support technical due diligence for strategic partnerships and customer evaluations. - Roadmap & IP - Define the multi-generation architecture roadmap — establish a clear migration path from initial process node to advanced nodes with improved power density and packaging integration. Qualifications - 15+ years in power IC architecture; 5+ years at Principal level or higher in a fabless, IDM, or PMIC-focused semiconductor environment. - Deep expertise in multi-phase synchronous buck converter design — topology selection, loop compensation, stability analysis, and efficiency optimization across load. - Mixed-signal IC design fluency: gate driver design, current sensing techniques, analog control loops, and ADC/DAC integration in CMOS processes. - Hands-on experience with integrated passive components — on-chip or in-package inductors, capacitors, and their interaction with converter performance. - Advanced packaging familiarity: flip-chip, 2.5D/3D integration, bump map design, and thermal/electrical co-design for power-dense applications. - Experience driving power IC tape-outs from architecture definition through silicon bring-up and characterization. - Proficiency in power converter simulation: SPICE-level transient analysis, AC loop stability, and PVT corner sweeps. Preferred Qualifications - Experience with kilowatt-class power delivery for AI accelerators, GPUs, or high-performance CPUs is a big plus. - Familiarity with in-package voltage regulator architectures (FIVR, LEGO-style VR, or substrate-embedded passives). - Background in PMBus / I2C / proprietary digital power management interfaces — experience migrating from legacy interfaces to die-to-die control fabric is a plus. - Prior startup experience or comfort with early-stage technical ambiguity and fast-paced execution.