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Beyond-ED
AI Solutions Architect
About the Role A growing technology consulting firm seeks an AI Growth Engineer (Solutions Architect) to expand its AI, data, and cloud practice. This hybrid role combines customer engagement, solution architecture, hands-on engineering, and business growth. You will work with customers to understand complex business challenges, shape technical solutions, build prototypes, and deliver enterprise-grade systems through production deployment. The ideal candidate is a senior hands-on architect or lead engineer who combines strong technical expertise with commercial awareness, customer-facing skills, and technical leadership. Key Responsibilities * Engage with customers early to understand business and technical requirements and define solution strategies. * Develop proposals, solution architectures, delivery plans, effort estimates, and team structures. * Build MVPs, proofs of concept, demos, and prototypes to demonstrate business value. * Design enterprise-grade AI, data, and cloud solutions from concept through production. * Develop AI-powered systems using Generative AI, LLMs, RAG, agentic workflows, and context engineering. * Design modern data platforms, event-driven and streaming architectures, search solutions, and analytics capabilities. * Contribute hands-on throughout delivery, including coding, code reviews, and mentoring technical teams. * Use AI-assisted engineering tools to accelerate development and promote modern engineering practices. * Collaborate with customers and cross-functional teams to ensure successful delivery and go-live. * Act as a trusted technical advisor to stakeholders, from engineering teams to executive leadership. Required Qualifications * Degree in Computer Science or equivalent practical experience. * At least 5 years of hands-on software engineering experience, ideally 8+ years in complex enterprise environments. * Strong communication and stakeholder management skills across technical and business audiences. * Experience with customer workshops, solution consulting, proposal development, and effort estimation. * Proven ability to build prototypes and MVPs and evolve them into production-ready solutions. * Practical experience implementing Generative AI solutions, including LLMs, prompt engineering, context engineering, and AI-assisted development tools. * Experience designing distributed systems and microservices on AWS and/or Azure. * Hands-on enterprise experience with Apache Kafka is required. * Strong expertise in Java and Spring Boot. * Strong Elasticsearch experience highly preferred. * Familiarity with React or Angular and enterprise application architectures. * Authorization to work in the United States. * Fluency in English. Preferred Qualifications * Experience with Databricks; Snowflake experience * Enterprise architecture experience, including technology roadmaps, integration strategies, architecture governance, and modernization initiatives. * Consulting or professional services experience across multiple clients and projects. * Certifications in AWS, Azure, Databricks, Confluent, Elastic, or related technologies. * Industry experience in financial services, insurance, retail, manufacturing, or life sciences. * Knowledge of DataOps, CI/CD, and automated data pipelines. * Experience with Liferay or other enterprise platforms. * Public speaking, technical writing, conference presentations, or open-source contributions. * German or Spanish language skills for collaboration with international teams. What to Expect * An entrepreneurial role combining business growth, technical consulting, solution architecture, and hands-on engineering. * Exposure to modern AI, data, and cloud technologies across multiple industries. * Direct involvement in expanding an AI and data practice. * Collaboration with colleagues across the United States and internationally. * An approximate 40% pre-sales and business growth / 60% solution design and delivery split. * Regular travel to customer sites as required. * Equal Opportunity The organization values diversity, inclusion, and collaboration and welcomes qualified candidates from all backgrounds. Work Authorization: US citizenship or green card, Must have existing US work authorization
Beyond-ED
Senior Performance Marketing Specialist
About the role We are seeking a Senior Performance Marketing Specialist to own and optimize our paid acquisition campaigns. You will drive lead generation, manage media budgets, and deliver measurable business results through data-driven strategy and execution. What you'll do You will manage end-to-end paid campaigns across Google Ads and Meta Ads, building and optimizing lead-generation funnels tailored to B2B audiences. You'll own performance tracking and analysis, using GA4, GTM, and Meta Pixel to monitor key metrics including ROI, ROAS, CAC, and CPL. Your responsibilities include developing paid acquisition strategies, allocating and optimizing budgets for maximum efficiency, improving lead quality, and connecting marketing performance directly to business outcomes. You'll work independently to identify optimization opportunities and implement improvements across all paid channels. What you'll need You bring 7–8+ years of hands-on experience in performance marketing, paid acquisition, and media buying, with demonstrated expertise in Google Ads and Meta Ads. You have strong B2B lead generation experience and familiarity with business services, consultancy, corporate setup, professional services, investment, or similar sectors. You are proficient with GA4, GTM, Meta Pixel, and the metrics that drive performance decisions: ROI, ROAS, CAC, and CPL. You are a data-driven, commercially focused marketer who can build strategies independently, optimize budgets, and connect marketing activity to business results. Professional English is required. Work arrangement The first 3 months of this role are remote from Egypt, followed by relocation to Riyadh, Saudi Arabia. Flight ticket and accommodation are provided. Education Requirement: no Work Authorization: Any work authorization accepted Requirements Must-have: - 7–8+ years performance marketing and paid acquisition experience - Hands-on expertise in Google Ads and Meta Ads - B2B lead generation experience - Professional English Nice-to-have: - Background in business services, consultancy, or professional services