{"id":2906100,"url":"https://alion.io/job/crayondata-lead-ai-architect","title":"Lead AI Architect","company":{"id":37108,"name":"Crayon Data","domain":"crayondata.ai","url":"https://alion.io/company/crayondata","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":159000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ArangoDB","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Neo4j","optional":false},{"name":"NVIDIA NIM","optional":false},{"name":"NVLink","optional":false},{"name":"OpenShift","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Triton","optional":false},{"name":"Triton Inference Server","optional":false}],"status":"live","first_seen_at":"2026-10-20T07:54:22Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-26T07:33:36Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Location: Saudi Arabia Full Time/ On-site\nExperience: 8+ years\nIndustry: Banking / Financial Services\nWho are we? \nCrayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission has always been to simplify the world’s choices.\nToday, we’ve evolved into Tangram.ai - a modular, GenAI-powered platform built for the enterprise. Tangram lets organizations assemble intelligent agents, solutions, and models like building blocks to create, scale, and adapt AI-powered capabilities with speed, security, and precision. It’s not just a platform,it’s the operating layer for GenAI in the enterprise.\nRole Overview\nWe are looking for a Senior Lead AI Architect to own the end-to-end architecture of secure, enterprise-grade Generative AI and AI infrastructure platforms for highly regulated banking environments.\nYou will work closely with Business, Product, Data Science, Engineering, Infrastructure, and client teams to translate business requirements into scalable AI solutions.\nWhat You'll Do\nArchitect enterprise GenAI, LLM, RAG and AI/ML platforms for secure on-premise and air-gapped environments.\nDesign GPU-accelerated infrastructure using NVIDIA DGX, H100/B200, NVLink/NVSwitch.\nArchitect AI platforms on Red Hat OpenShift/Kubernetes using the NVIDIA GPU Operator.\nDesign and integrate NVIDIA NIM, Triton Inference Server, DataRobot and Graph Databases.\nBuild architectures supporting RAG, Knowledge Graphs and enterprise data pipelines.\nDefine security, scalability, performance and data-sovereignty standards for banking environments.\nProvide technical leadership and guidance to Data Science, Engineering and AI teams.\nEvaluate emerging AI technologies and drive adoption of solutions that create measurable business impact.\nWhat We're Looking For\n8+ years of experience in AI/ML, enterprise architecture, infrastructure or related areas.\n3+ years designing large-scale GenAI, LLM, AI/ML or GPU-accelerated solutions.\nStrong experience with NVIDIA GPUs, OpenShift, Kubernetes and GPU Operator.\nHands-on knowledge of NVIDIA NIM / Triton, DataRobot and Graph Databases such as Neo4j / ArangoDB.\nStrong understanding of RAG, LLM infrastructure, distributed systems and AI platforms.\nExperience in Banking/BFSI, FinTech or highly regulated environments.\nStrong stakeholder management, problem-solving and technical leadership skills.\nBrownie Points: Experience with air-gapped environments, large-scale LLM inference, Knowledge Graphs, Agentic AI or recommendation 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