{"id":2502987,"url":"https://alion.io/job/ultahost-ai-systems-architect","title":"AI Systems Architect","company":{"id":1792005,"name":"Ultahost","domain":"ultahost.com","url":"https://alion.io/company/ultahost","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kyiv, Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":128000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1099},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"Anthropic","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"Debian","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"Hyper-V","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"KVM","optional":false},{"name":"LangChain","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"LiteLLM","optional":false},{"name":"LLM","optional":false},{"name":"Lovable","optional":false},{"name":"MariaDB","optional":false},{"name":"MySQL","optional":false},{"name":"n8n","optional":false},{"name":"Node JS","optional":false},{"name":"Ollama","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Proxmox VE","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Replit","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"SRE","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TCP/IP","optional":false},{"name":"Terraform","optional":false},{"name":"TGI","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Ubuntu","optional":false},{"name":"vLLM","optional":false},{"name":"VMWare","optional":false},{"name":"Zapier","optional":false},{"name":"AutoGen","optional":true},{"name":"AWQ","optional":true},{"name":"Copilot","optional":true},{"name":"CrewAI","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GGUF","optional":true},{"name":"GPTQ","optional":true},{"name":"Grafana","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LoRA","optional":true},{"name":"Milvus","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"PEFT","optional":true},{"name":"Pinecone","optional":true},{"name":"Prometheus","optional":true},{"name":"Sentry","optional":true},{"name":"Triton","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-08T11:07:34Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-14T14:49:51Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"About UltaHost\nUltaHost is a fast-growing global web hosting and cloud infrastructure company delivering high-performance, reliable, and scalable technology solutions to customers worldwide. Since our founding in 2018, we have grown rapidly across global markets, supporting entrepreneurs, developers, agencies, startups, SaaS companies, and businesses with modern hosting and cloud infrastructure.\nOur services span VPS hosting, dedicated servers, shared hosting, domains, game servers, and cloud-based infrastructure across a growing international footprint.\nAs UltaHost continues to scale, Artificial Intelligence is becoming an increasingly important part of our infrastructure, products, customer experience, and internal operations.\nWe are investing in: GPU-powered infrastructure, private and self-hosted LLM environments, commercial and open-source AI models, AI-powered applications, intelligent infrastructure automation, RAG and agentic systems, customer-facing AI services, and reusable AI platform capabilities.\nWe are now looking for an AI Systems Architect to help design and build the technical foundation of this next stage.\nJob Overview\nWe are looking for an AI Systems Architect to help the company adopt AI across departments, reduce manual work, improve sales performance, and build internal AI-powered tools, scripts, platforms, and agents. This is not a traditional AI engineering role. We are looking for a visionary technology leader who can identify opportunities where Artificial Intelligence can fundamentally improve how the company operates, sells, supports customers, develops products, and scales globally.\nAs AI Systems Architect, you will define and execute the organization’s AI roadmap, lead AI innovation initiatives, build internal AI platforms and intelligent automation systems, and establish our position as an AI-first hosting, cloud, and SaaS company. This person should be both technical and product-minded: able to understand business problems, design practical AI solutions, build prototypes, work with tools such as Lovable and similar AI development platforms, and help promote the company as an AI-first technology brand.\nThe role is ideal for someone who has strong technical knowledge, good taste in design and user experience, and a clear vision for how AI can improve operations, customer support, sales, marketing, development, and management workflows. The AI Systems Architect will design, build, integrate, deploy, and improve AI systems across UltaHost’s infrastructure and application ecosystem.\nThis is a highly hands-on technical role operating at the intersection of: GPU infrastructure, Linux systems, Proxmox and KVM virtualization, containers, LLM deployment and inference, AI applications, RAG and vector search, agentic systems, cloud and hosting platforms, backend engineering, infrastructure automation, and production reliability.\nYou will work directly with our CTO and collaborate closely with Product, Engineering, Infrastructure, Operations, Support, and other business departments. This position does not currently include direct team-management responsibilities. It is an individual-contributor role with significant technical ownership and architectural influence.\nWe are looking for someone who understands the full production stack:\nGPU infrastructure → virtualization and containers → model serving → AI platform services → APIs and integrations → AI applications → monitoring, security, and optimization.\nMain Goal of the Role\nYour main goal will be to help UltaHost build a practical, scalable, and production-ready AI ecosystem.\nYou will:\nDesign and build infrastructure for running AI and LLM workloads on GPU-enabled environments.\nDeploy, benchmark, optimize, and operate self-hosted and third-party LLMs.\nBuild production AI applications, agents, copilots, APIs, RAG systems, and automation.\nConnect AI systems with UltaHost infrastructure, products, customer portals, support systems, databases, and internal tools.\nExplore how technologies such as GPUs, Proxmox, containers, open-source LLMs, vector databases, and modern AI frameworks can become part of UltaHost's technology stack.\nIdentify internal processes where AI and deterministic automation can reduce repetitive work and improve efficiency.\nBuild reusable AI infrastructure and services that can support multiple future applications instead of isolated one-off experiments.\nHelp UltaHost evolve toward an AI-enabled hosting and cloud platform.\nThe objective is not experimentation for its own sake.\nWe want working systems that create measurable technical or business value.\nKey Responsibilities\nGPU & AI Infrastructure\nDesign, deploy, configure, and operate infrastructure for LLM and AI workloads using GPU-enabled servers.\nWork with GPU environments and understand practical considerations related to:GPU compute, VRAM capacity, model size, precision, quantization, concurrency, batching, utilization, throughput, latency, thermal and power constraints,and workload allocation.\nEvaluate the hardware and infrastructure requirements of different AI models and use cases.\nDesign virtualization strategies for AI workloads using Proxmox VE, KVM, virtual machines, Linux containers, and Docker.\nConfigure or support GPU and PCIe passthrough in virtualized environments where appropriate.\nDesign secure resource-isolation models for internal and potentially customer-facing AI workloads.\nContribute to GPU infrastructure capacity planning, availability, monitoring, backup, and disaster-recovery strategies.\nDevelop repeatable deployment processes rather than relying on manual server configuration.\nWork with Infrastructure and Engineering teams to create stable environments for development, testing, staging, and production AI workloads.\nProxmox, Virtualization & Platform Engineering\nDesign and maintain Proxmox-based infrastructure for AI and general-purpose workloads.\nWork with Proxmox clusters, virtual machines, LXC containers, networking, storage, resource allocation, templates, and backups.\nDesign infrastructure with appropriate isolation, high availability, performance, and operational simplicity.\nAutomate VM, container, and infrastructure provisioning using APIs, infrastructure-as-code, scripts, or orchestration tools.\nHelp standardize deployment patterns across GPU servers and AI application environments.\nTroubleshoot performance, networking, storage, virtualization, and hardware-resource issues.\nEvaluate when workloads should run on bare metal, virtual machines, containers, or orchestration platforms.\nLLM Deployment & Inference\nDeploy and operate open-source LLMs on private/self-hosted infrastructure.\nEvaluate and work with inference technologies such as vLLM, Ollama, LiteLLM, Hugging Face, TGI, or comparable platforms.\nBenchmark models based on quality, latency, throughput, VRAM consumption, concurrency, and operating cost.\nUnderstand and apply inference optimization techniques such as quantization, batching, caching, context management, and model routing where appropriate.\nCompare self-hosted models with commercial APIs such as OpenAI, Anthropic Claude, and Google Gemini and select the appropriate architecture for each use case.\nDesign model gateways and reusable inference APIs that can serve multiple UltaHost applications.\nBuild resilient model integrations with appropriate fallbacks, retries, rate limits, timeouts, and error handling.\nAI Applications, RAG & Agentic Systems\nDesign and build production-ready AI applications rather than demonstration-only chat interfaces.\nDevelop internal AI assistants connected to authorized company knowledge, documentation, support content, operational runbooks, product information, and other approved data sources.\nBuild RAG systems using embeddings, vector databases, metadata filtering, reranking, access controls, and retrieval evaluation.\nDevelop AI agents capable of using controlled tools, APIs, databases, and internal services.\nBuild multi-step AI workflows and agent orchestration where the complexity is justified by the use case.\nImplement structured outputs, schema validation, tool calling, memory, state management, context management, and execution controls.\nCreate internal AI applications for technical and non-technical teams.\nBuild customer-facing AI applications or AI-enabled hosting products where strategically relevant.\nDistinguish between tasks that require probabilistic model reasoning and tasks that should be implemented through deterministic software or traditional automation.\nAvoid unrestricted LLM-generated infrastructure actions and use controlled, validated tool interfaces instead.\nDesign appropriate human-approval mechanisms for sensitive, unusual, or high-risk AI actions.\nBackend Development & Systems Integration\nBuild reusable AI services, APIs, and platform components that can support multiple products and departments.\nIntegrate AI systems with existing UltaHost platforms, portals, databases, billing systems, support systems, monitoring platforms, and internal applications.\nWork with REST APIs, webhooks, databases, queues, caches, scheduled jobs, and event-driven workflows.\nWork with relational and vector databases such as PostgreSQL/pgvector, Qdrant, or comparable technologies.\nBuild backend services using Python, TypeScript/Node.js, or other appropriate technologies.\nWork with Engineering to integrate AI functionality into existing and future customer-facing products.\nWork with Engineering teams to integrate AI functionality into existing and future UltaHost products.\nEnsure that prototypes intended for production are converted into properly tested, documented, and maintainable software.\nInfrastructure & Workflow Automation\nAutomate infrastructure provisioning, configuration, deployment, and maintenance.\nWork with tools such as:Terraform, Ansible, GitLab CI/CD, GitHub Actions, n8n, scripts, internal APIs, or comparable automation technologies.\nCreate idempotent and repeatable infrastructure workflows where possible.\nIdentify repetitive operational tasks that can be eliminated or reduced through deterministic automation or AI-assisted workflows.\nBuild automations that connect infrastructure, engineering, support, and business systems.\nEvaluate whether a business problem requires AI, standard software development, workflow automation, or a hybrid solution.\nReduce unnecessary manual dependencies without introducing unsafe or difficult-to-maintain automation.\nMonitor AI infrastructure and applications for performance degradation, model failures, infrastructure issues, and abnormal behavior.\nSecurity, Isolation & AI Governance\nApply least-privilege principles across infrastructure, applications, services, and agent tools.\nDesign secure handling for credentials, secrets, API keys, service accounts, SSH access, and model-provider access.\nImplement authorization boundaries for AI applications and infrastructure actions.\nConsider tenant isolation when AI systems interact with customer data or customer infrastructure.\nEnsure that one customer, user, application, or workload cannot access another customer’s data or resources.\nDesign controlled execution mechanisms for agents interacting with servers, APIs, or sensitive systems.\nImplement structured and restricted tool interfaces rather than passing unrestricted model-generated shell commands directly to production environments.\nEstablish appropriate:approval gates; action-risk levels, allowlists, deny lists, validation rules, audit trails, and rollback controls.\nAddress LLM-specific risks including:prompt injection, indirect prompt injection, hallucination, data leakage, unauthorized tool use, unsafe action generation, and excessive permissions.\nEnsure that AI-generated recommendations and actions are traceable and auditable where required.\nBusiness Automation & AI Adoption\nWork with departments such as Support, Sales, Marketing, Finance, HR, Operations, and Engineering to identify repetitive or inefficient workflows.\nDe...","description_format":"text","description_chars":22618,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Web Hosting & 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