{"id":4162155,"url":"https://alion.io/job/ai71-solution-architect-ask","title":"Solution Architect (Ask)","company":{"id":192,"name":"AI71","domain":"ai71.ai","url":"https://alion.io/company/ai71","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":8,"ghost_share":0,"stale_share":0.125,"repost_share":0,"time_to_fill_p50_days":98,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Abu Dhabi, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-11-12T06:50:28Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T01:58:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About AI71:\nAI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology-tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.\nThe Role:\nWe are hiring a client-facing Principal Solution Architect to turn customer problems into productiongrade agentic AI solutions on our platform. You will sit between our clients and our engineering and product teams: you scope the use case, design the agent architecture, prove it works, and guide it into production. As a principal, you own our most strategic and complex accounts, set the technical standards for how agentic solutions are built, and raise the bar for the whole solutions team. This role suits someone who can whiteboard a multi-agent workflow with a CTO in the morning and debug a tool-calling failure with an engineer in the afternoon.\nWhat You'll Do:\nClient engagement and discovery\nLead technical discovery with client stakeholders, from executives to engineering teams, to identify high-value use cases for agentic AI.\nQualify use cases for feasibility, data readiness and risk, and say no to the ones that won't work. • Act as the trusted technical advisor through pre-sales, pilot and rollout; run workshops, demos and architecture reviews. •\n Translate business processes into agent workflows clients can understand and sign off on.\nSolution design and architecture\nDesign end-to-end agentic solutions: agent roles, orchestration patterns (single-agent, multiagent, human-in-the-loop), tool and API integrations, memory and retrieval (RAG), and guardrails.\nIntegrate the platform with client systems: identity (SSO/OAuth), data sources, CRMs/ERPs, ticketing tools and internal APIs, including via MCP or similar tool protocols.\nMake deployment decisions across cloud, VPC and on-prem, covering security, data residency, cost and latency.\nProduce clear architecture documents, solution proposals and statements of work. Build, prove and deliver\nBuild proofs of concept and pilots hands-on: prompts, tools, agent configurations and integration code.\nDefine evaluation criteria with the client and set up evals for accuracy, reliability, safety and cost before go-live.\nGuide delivery teams and client engineers through production rollout, observability and ongoing tuning.\nTroubleshoot agent behaviour in production: tool-call failures, hallucinations, latency and cost overruns. Shape the platform\nFeed field insight back to product and engineering: feature gaps, recurring integration patterns, failure modes.\nCreate reusable assets: reference architectures, solution templates, connectors and playbooks.\nRepresent the company at client events, webinars and technical briefings. Technical leadership\nOwn the technical relationship with C-level and VP stakeholders on strategic accounts, including executive briefings and multi-year AI roadmaps.\nSet architecture standards, design review practices and delivery methodology for agentic solutions across the solutions team.\nMentor and coach senior and mid-level solution architects; lead design reviews and act as the escalation point for the hardest technical problems.\nPartner with sales and product leadership on large, multi-workstream deals: solution strategy, pricing inputs and risk assessment.\nWhat You'll Bring:\n12+ years in software engineering, solution architecture, forward-deployed engineering or technical consulting, with at least 5 years in senior client-facing architecture roles on enterprise accounts.\nHands-on work with LLM applications, including agentic systems you have taken to production at enterprise scale: prompt engineering, function/tool calling, RAG, and agent frameworks (e.g. LangGraph, CrewAI, AutoGen, Claude Agent SDK, OpenAI Agents SDK, or in-house equivalents).\nStrong coding ability in Python and/or similar languages; comfortable building integrations against downstream APIs.\nSolid grounding in cloud architecture (AWS, Azure or GCP), containers, networking and enterprise security (SSO, RBAC, secrets, data privacy).\nExcellent communication: you can explain trade-offs to non-technical executives and write architecture docs engineers’ trust.\nTrack record of leading large, multi-stakeholder engagements end to end, and of influencing executive decisions without formal authority.\nExperience mentoring architects or engineers and setting technical direction across a team.\nNice to Have:\nProduction deployments of multi-agent or long-running autonomous workflows.\nExperience with Model Context Protocol (MCP), vector databases, and workflow engines.\nBackground in regulated industries such as financial services, government, healthcare or energy.\nExperience deploying solutions in sovereign, private-cloud or on-prem environments.\nFamiliarity with AI governance and risk frameworks.\nDegree in Computer Science, Engineering or a related field, or equivalent experience.\nWhy AI71:\nMission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.\nUnparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.\nCareer Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.\n World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best 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