{"id":3937650,"url":"https://alion.io/job/intel-solution-engineer-edge-agentic-ai","title":"Solution Engineer — Edge Agentic 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":84,"open_postings":103,"ghost_share":0.029,"stale_share":0.553,"repost_share":0.058,"time_to_fill_p50_days":30,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Computer Vision","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":"Multi-Agent Systems","optional":false},{"name":"ONNX","optional":false},{"name":"OpenShift","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"vLLM","optional":false},{"name":"AIOps","optional":true},{"name":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T09:37:55Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Details:\nJob Description:\nAbout the role\nBe the technical face of Intel's Edge Agentic AI and Physical AI (PhyAI) solutions for customers across Saudi Arabia and the broader MENA region.\nAs a Solution Engineer, you will help city authorities, critical infrastructure operators, and government organizations design, deploy, and scale next-generation AI solutions for cognitive cities, autonomous operations, and intelligent edge-driven decision making.\nYour work will contribute directly to the Kingdom's transformation under Saudi Vision 2030 and the National Strategy for Data and AI (NSDAI).\nThis role sits at the intersection of advanced engineering and customer engagement. You will deliver technical demonstrations, architect and execute proofs of concept, validate edge AI and agentic workflows, and drive customer success across the full AI lifecycle.\nWorking closely with city, government, and AI solutions stakeholders, you will gather field insights, shape solution roadmaps for the region while working with Intel's global product, and ecosystem organizations.\nWhat you'll do\nGuide customers from initial discovery through successful deployment of agentic AI and Physical AI solutions powered by Intel technologies.\nPartner with Saudi and GCC customers to understand their use cases and enable solutions on Intel hardware accelerating the adoption of Edge Agentic and Phy AI.\nRun technical demos, workshops, and proofs of concept at customer sites.\nProduce customer-facing technical content in both Arabic and English: solution briefs, deployment guides, demo scripts, and case studies.\nBring field signal back to the Edge & Phy AI product teams.\nQualifications:\nRequired Qualifications\nBachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.\nAt least 5-6 years of experience in a technical role - software engineering, solutions engineering, technical consulting, or technical support with a strong engineering component.\nStrong Knowledge of computer vision, video analytics, sensor fusion, IoT, geospatial intelligence, or real-time operational technologies (OT).\nStrong understanding of edge AI solutions, AI & agentic AI frameworks such as vLLM,OVMS, LangGraph, LangChain, and LlamaIndex.\nStrong understanding of Agentic AI, multi-agent systems, and AI orchestration frameworks.\nHands-on developer capable of building agentic AI workflows, RAG systems, computer vision pipelines, integrations, APIs, and customer PoCs.\n Experience in Python, SQL, JavaScript/TypeScript, Bash, PyTorch, TensorFlow, ONNX.\nExperience with microservices development and frameworks as Kubernetes and OpenShift.\nAbility to translate complex technical capabilities into measurable business outcomes.\nFluent in both Arabic and English - able to lead a customer meeting, deliver a technical presentation, and write documentation in either language.\nWillingness to travel within Saudi Arabia and occasionally within the MENA region for client visits\nPreferred Qualifications\nExperience deploying Edge AI workloads and across distributed edge architectures.\nUnderstanding of Cognitive City, Intelligent Infrastructure, Critical Infrastructure use cases across transportation, public safety, utilities, energy, healthcare, or smart buildings\nFamiliarity with sovereign AI architecture, data governance, AI lifecycle management (MLOps/AIOps), and secure AI deployments\nPrior customer-facing experience at a technology company, system integrator, consulting firm within the MENA region\nContributions to AI, edge computing, open-source, or developer communities through technical blogs, GitHub projects, conference presentations, workshops, or hackathons\nWhy join us\nBe a founding member of Intel's customer success engineering presence in Saudi Arabia, working with the Kingdom's most ambitious AI customers.\nHands-on technical role with direct customer impact - see your work shipped into production at scale.\nMentorship from senior engineers and customer success leaders, with structured early-career development.\nCompetitive compensation, travel support, 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 change.*","description_format":"text","description_chars":5032,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Arabic","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Saudi Arabia","iso":"SA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial 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