{"id":3989153,"url":"https://alion.io/job/ignatiuz-ai-infrastructure-and-platform-architect","title":"AI Infrastructure and Platform Architect","company":{"id":692478,"name":"Ignatiuz","domain":"ignatiuz.com","url":"https://alion.io/company/ignatiuz","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"DevOps","role_family":"DevOps","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":["Indore, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"cuDNN","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Grafana","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NCCL","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorRT","optional":false}],"status":"live","first_seen_at":"2026-11-09T22:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-09T22:35:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job description:\n\nWe are seeking an experienced AI Infrastructure and Platform Architect to design, optimize, and manage scalable AI infrastructure and platforms across on-premises, cloud, and hybrid environments.\n\nThe ideal candidate should have strong experience with GPU-based systems, AI/ML platforms, infrastructure architecture, performance optimization, capacity planning, and production support. The role will work closely with AI/ML developers, DevOps engineers, data engineers, and solution architects to improve the performance, reliability, scalability, and cost efficiency of AI solutions.\n\nKey Responsibilities:\nDesign and manage AI infrastructure for model training, fine-tuning, inference, computer vision, Generative AI, and LLM workloads.\nDefine CPU, GPU, RAM, VRAM, storage, networking, cooling, and power requirements.\nReview existing hardware and platform performance and recommend upgrades or optimizations.\nPerform capacity planning to support future workloads and minimize frequent hardware changes.\nBuild and maintain AI platforms using Linux, Docker, Kubernetes, GPU orchestration, and cloud services.\nConfigure and manage NVIDIA drivers, CUDA, cuDNN, TensorRT, and related AI acceleration technologies.\nMonitor system health, GPU utilization, memory usage, storage performance, and network throughput.\nDiagnose infrastructure failures, system crashes, performance bottlenecks, and platform outages.\nImplement monitoring, alerting, backup, disaster recovery, security, and operational best practices.\nPrepare architecture documents, hardware specifications, technical recommendations, and operational runbooks.\nSupport production deployment, troubleshooting, and continuous platform improvement.\n\nAI Solution Optimization:\n\nThe candidate should also be capable of:\n\nReviewing the end-to-end AI solution and identifying performance, architecture, and infrastructure gaps.\nRecommending improvements to scalability, reliability, maintainability, and cost efficiency.\nSupporting AI/ML developers with model training and experimentation environments.\nHelping reduce training time through GPU optimization, distributed training, resource tuning, and efficient data pipelines.\nProviding guidance on model accuracy, evaluation, hyperparameter tuning, and experimentation practices.\nImproving model-serving and inference performance.\nMentoring existing team members on AI infrastructure and production-readiness best practices.\n\nRequired Skills:\nAI infrastructure and GPU-based computing\nNVIDIA GPU architecture, CUDA, cuDNN, NCCL, and TensorRT\nLinux administration\nDocker and Kubernetes\nPyTorch, TensorFlow, Hugging Face, or similar frameworks\nCloud and on-premises AI platforms\nInfrastructure sizing and capacity planning\nPerformance monitoring and troubleshooting\nHigh-performance storage and networking\nMLOps, CI/CD, automation, and Infrastructure as Code\nMonitoring tools such as Prometheus, Grafana, NVIDIA DCGM, or OpenTelemetry\n\nQualifications:\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related field.\nStrong overall experience in infrastructure, cloud, platform engineering, architecture, or AI systems.\nA minimum of 3 years of direct, hands-on experience specifically working with AI infrastructure, machine learning platforms, GPU environments, or production AI workloads.\nProven experience designing, deploying, supporting, or optimizing production AI systems.\nStrong problem-solving, troubleshooting, communication, and technical documentation skills.\nThe candidate's total professional experience may be significantly higher. However, at least three years should involve genuine, relevant, hands-on work with AI systems and platforms.\n\nAdded Advantage:\n\nPreference will be given to candidates who have experience with:\n\nAI solution architecture\nLarge Language Models and Generative AI\nRAG and agentic AI systems\nDistributed model training\nComputer vision and edge AI\nModel-serving platforms\nAI performance benchmarking\nFinOps and infrastructure cost optimization\nHigh Performance Computing environments\n\nExperience Validation:\n\nCandidates should be able to explain their direct contribution to AI projects, including:\n\nAI infrastructure or platforms they designed or managed\nGPU and hardware-sizing decisions\nModel training or inference environments supported\nPerformance issues diagnosed and resolved\nImprovements achieved in training time, utilization, reliability, or cost\nProduction AI workloads they deployed or maintained\n\nGeneral DevOps, cloud, or system administration experience without direct AI or machine learning exposure will not be sufficient for this position.\nSkills\nCI / CD, CUDA, Docker, Hugging Face, IaC, Kubernetes, MLOps, NCCL, PyTorch, TensorFlow, TensorRT, cuDNN","description_format":"text","description_chars":4794,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-09T22:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":32,"reasons":["seen:1","win:early"],"computed_at":"2026-11-11T05:49:22Z"},"pay":null,"html_url":"https://alion.io/job/ignatiuz-ai-infrastructure-and-platform-architect","json_url":"https://alion.io/job/ignatiuz-ai-infrastructure-and-platform-architect.json","meta":{"generated_at":"2026-11-11T14:53:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27586,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":692478},"rest":"https://alion.io/mcp/rest/get_company?id=692478"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fignatiuz-ai-infrastructure-and-platform-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fignatiuz-ai-infrastructure-and-platform-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fignatiuz-ai-infrastructure-and-platform-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ignatiuz-ai-infrastructure-and-platform-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fignatiuz-ai-infrastructure-and-platform-architect"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3989153}},{"tool":"search_jobs","arguments":{"company":"ignatiuz.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3989153},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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