{"id":1766829,"url":"https://alion.io/job/iqbusiness-ai-solution-architect","title":"AI Solution Architect","company":{"id":177347,"name":"IQbusiness","domain":"iqbusiness.net","url":"https://alion.io/company/iqbusiness","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Simplify","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Johannesburg, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-06-26T00:00:00Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-31T05:55:21Z","board_verified":true,"closed_at":null,"days_open":127,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":127},"description":"We are recruiting an AI Solutions Architect to lead the design and delivery of enterprise-grade AI and Generative AI solutions across cloud platforms, with a strong emphasis on production deployment, business value and consulting-led delivery.\nThis role sits at the intersection of:\nSolution architecture (end-to-end systems design)\nAI engineering (capability awareness, not hands-on build ownership)\nConsulting (client engagement, commercial alignment, pre-sales)\nThe successful candidate will translate complex business problems into scalable AI architectures, lead multidisciplinary teams, and ensure AI solutions are aligned to enterprise systems, governance, and measurable outcomes.\nRole Context & Positioning:\nSenior member of the AI & Data capability working across multiple client engagements\nActs as the bridge between AI engineering, architecture, and business stakeholders\nOwns solution design, architecture governance and delivery oversight\nPlays a key role in pre-sales, client shaping, and capability development\nResponsibilities:\nAI Solution Architecture & Design\nLead the design of end-to-end AI architectures across data, application and integration layersDesign solutions spanning:\nGenerative AI (LLMs, RAG, agents)\nDocument intelligence and automation\nEnterprise AI platforms and APIs\n\nDefine:Data flow, integration patterns, and system architecture\nRetrieval, orchestration and agent interaction patterns\nSecurity, governance and deployment architectures\n\nClient Advisory & Solution Shaping\nLead discovery workshops and use case definition sessions\nTranslate business problems into AI-enabled solutions and architecture blueprints\nAdvise clients on:AI adoption roadmaps\nArchitecture approaches (build vs buy vs hybrid)\nTrade-offs, risks, and ROI\n\nDelivery Leadership\nOwn architecture across delivery lifecycle:Discovery → design → build oversight → deployment → optimisation\n\nGuide engineering teams on:Architecture decisions\nDesign patterns and best practice\n\nEnsure:Production-grade delivery\nAlignment to enterprise systems and constraints\n\nCloud AI Architecture\nArchitect solutions across at least one hyperscaler (Azure preferred), including:Azure OpenAI, AI Foundry, AI Search, Document Intelligence\nEquivalent AWS (Bedrock) or GCP (Vertex AI) services\n\nDefine:Deployment patterns (APIs, microservices, serverless)\nIntegration into enterprise ecosystems\nSecurity, networking and governance models\n\nData & AI Platform Design\nDesign data foundations required for AI:Data pipelines, ingestion patterns, storage and modelling\nVector databases, embeddings and retrieval strategies\n\nEnsure:Data quality, lineage, and governance alignment\nAI-readiness of enterprise data platforms\n\nPre-Sales & Commercial Contribution\nSupport and lead:Solution design for proposals and RFPs\nEstimation, costing and effort modelling\n\nContribute to:Client pitches and demos\nOpportunity shaping and deal conversion\n\nCapability Building & Thought Leadership\nDevelop:Reference architectures and reusable solution patterns\n\nMentor:Engineers and consultants\n\nContribute to:Internal capability development and AI maturity\n\nRequirements\nConsulting & Leadership\n7-12+ years in technology, data or solution architecture\n3-5+ years in consulting / client-facing architecture roles\nProven experience:Leading AI or data engagements\nManaging multidisciplinary teams\nEngaging senior stakeholders and executives\n\nAI & Generative AI\nPractical experience designing solutions involving:LLMs and Generative AI applications\nRAG architectures and retrieval systems\nAI agents / orchestration patterns\n\nStrong understanding of:Prompting, evaluation and guardrails\nEnterprise AI use cases and limitations\n\nSolution Architecture\nStrong experience designing:Distributed systems and microservice architectures\nAPI-driven integrations\nEnterprise-scale cloud solutions\n\nAbility to clearly articulate architecture decisions and trade-offs\nCloud (At least one CSP, Azure preferred)\nAzure (preferred): OpenAI, AI Foundry, Synapse, Data Lake, App Services\nAWS: Bedrock, Lambda, S3\nGCP: Vertex AI, Cloud Run\nData & AI Platform Understanding\nStrong grounding in:Data engineering concepts (pipelines, modelling, lakehouse)\nAI system data flows (embeddings, chunking, indexing)\n\nExperience designing AI-ready data ecosystems\nBusiness & Communication\nAbility to:Translate technical designs into business outcomes\nCommunicate with C-suite and architecture boards\n\nStrong commercial acumen and delivery mindset\nPlease Note:\nAs all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification\niqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged 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