{"id":3937652,"url":"https://alion.io/job/intel-ai-solution-architect-edge-agentic-and-physical-ai","title":"AI Solution Architect — Edge Agentic and Physical AI","company":{"id":35,"name":"Intel","domain":"intel.com","url":"https://alion.io/company/intel","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":106,"ghost_share":0.028,"stale_share":0.566,"repost_share":0.047,"time_to_fill_p50_days":30,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenShift","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"vLLM","optional":false},{"name":"Digital Twin","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T23:33:25Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Details:\nJob Description:\nAbout the role\nJoin Intel'sEdge Agentic AI tea m and help accelerate the Kingdom's AI transformation under Saudi Vision 2030. This role sits at the intersection of advanced AI engineering, customer solution architecture, and ecosystem engagement.\nYou will work directly with government entities, smart city authorities, critical infrastructure operators, enterprises, and ecosystem partners to design, deploy, and scale next-generation Edge Agentic and Physical AI powered by Intel technologies.\nAs a trusted technical advisor, you will bridge customer requirements with Intel's global engineering teams, helping customers operationalize Agentic and Physical AI and autonomous decision-making systems with sovereign AI across edge infrastructures.\nWhat you'll do\nLead the design and architecture of end-to-end solutions for Edge Agentic AI, Physical AI, and Cognitive City initiatives across Saudi Arabia and the broader region.\nEngage customers/stakeholders to understand business goals, operational challenges, and AI transformation priorities, translating them into scalable technical solutions.\nDevelop and demonstrate proof-of-concepts showcasing sovereign edge AI architectures leveraging Intel HW & SW technologies.\nCreate customer-facing technical assets, including solution blueprints, reference architectures, deployment guides, workshop content, and technical presentations in both Arabic and English.\nCollaborate closely with Intel engineering and product teams to influence product roadmaps through customer requirements, field insights, and deployment feedback.\nDrive ecosystem development and strategic partnerships with public and private sector.\nRepresent Intel as a technical leader in customer engagements, partner workshops, industry forums, and Vision 2030 initiatives, including events such as LEAP and the Global AI Summit.\nQualifications:\nRequired Qualifications\nBachelor's degree in Computer Science, Software Engineering, Electrical Engineering, AI, Data Science, or related technical discipline.\nAt least 5-6 years of experience in Solution Engineering, AI Engineering, Software Engineering, Technical Consulting, or Customer Engineering.\nStrong software development background with ability to code, review architecture, and guide engineering teams.\n Strong experience in Python, SQL, JavaScript, Docker and Vector Databases.\nStrong understanding of: Edge AI architectures, Agentic AI systems, Multi-agent frameworks, and AI orchestration & lifecycle management frameworks.\nExperience in REST APIs, microservices development and orchestration frameworks (e.g., Kubernetes, OpenShift).\nFamiliarity with AI frameworks as LangGraph, LangChain, LlamaIndex, AI model serving frameworks such as vLLM and OVMS, and MCP-based agent architectures.\nAbility to translate technical capabilities into measurable business outcomes.\nExcellent communication and presentation skills with proficiency in Arabic and English.\nWillingness to travel within Saudi Arabia and occasionally within the MENA region for client visits\nPreferred Qualifications\nExperience deploying AI workloads in distributed edge environments.\nKnowledge of Cognitive Cities, Physical AI, Industry 4.0, transportation, public safety, utilities, healthcare, energy, or intelligent infrastructure domains.\nFamiliarity with: Sovereign AI architectures and AI governance\nExperience with digital twin platforms and geospatial intelligence solutions.\nExperience working with government or public-sector customers in the Middle East.\nOpen-source contributions, technical blog posts, or participation in regional AI / developer communities (e.g., SDAIA, Saudi AI Society, GCC tech meetups)\n margin-top:2.0pt;\"> margin-top:2.0pt;\">undefined\nWhy join us\nHelp shape the future of Cognitive Cities, Edge Agentic AI, and Physical AI across Saudi Arabia and the ME region.\nInfluence strategic customer deployments that support Vision 2030 initiatives.\nGain exposure to emerging technologies spanning AI agents, digital twins, robotics, autonomous operations, and sovereign AI platforms.\nCompetitive compensation, relocation support where applicable, and Intel's standard benefits package adapted for the Saudi market\nJob Type:\nExperienced HireShift:\nShift 1 (Saudi Arabia)Primary Location:\nSaudi Arabia, RiyadhAdditional Locations:\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust\nN/AWork Model for this Role\nThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to 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