{"id":2194583,"url":"https://alion.io/job/hcltech-solution-architect-google-cloud-platform-gcp","title":"Solution Architect - Google Cloud Platform (GCP)","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"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":[],"countries":[],"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":"ArgoCD","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"JAX","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"PyTorch","optional":false},{"name":"Service Mesh","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"TPU","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-09T18:55:32Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T21:16:48Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nKLA is seeking a highly experienced and hands-on Principal AI Platform Architect to lead the design and implementation of a next-generation AI infrastructure platform on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in architecting and deploying Google Kubernetes Engine (GKE) clusters supporting both TPU and GPU workloads for large-scale AI and Machine Learning applications. This role requires a technical leader who can directly engage with engineering teams, drive architecture discussions, define platform standards, and establish a scalable, secure, and observable AI platform capable of supporting model development, training, experimentation, and production operations. The successful candidate will have proven experience designing and implementing TPU-enabled clusters for large-scale model training while optimizing resource utilization, performance, cost, and operational efficiency\nJob Description\nBachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.\n12+ years of IT infrastructure, cloud architecture, or platform engineering experience.\n5+ years of hands-on experience with Google Cloud Platform (GCP).\nStrong experience designing and implementing production-scale GKE environments.\nProven experience deploying TPU-enabled infrastructure for AI model training.\nStrong expertise in GPU-based workload orchestration and optimization.\nExperience supporting large-scale AI/ML platforms in production environments.\nDeep understanding of Kubernetes architecture and operations.\nExperience with distributed training and high-performance computing environments.\nStrong communication and stakeholder management skills\nKey Responsibilities\nAI Platform Architecture & Design\nDesign and implement enterprise-scale AI platforms on Google Cloud Platform.\nArchitect highly available and scalable GKE environments supporting: o TPU workloads for AI model training o GPU workloads for inference and accelerated computing o Multi-tenant engineering teams\nDefine architecture patterns for AI/ML platform lifecycle management.\nEstablish best practices for workload scheduling, resource isolation, cluster autoscaling, and infrastructure optimization.\nDrive platform design reviews and technical governance. GKE, TPU & GPU Infrastructure\nDesign and deploy production-grade GKE clusters optimized for AI workloads.\nImplement TPU-enabled GKE architectures for large-scale model training.\nConfigure GPU node pools supporting frameworks such as TensorFlow, PyTorch, JAX, and distributed training environments.\nDesign workload placement strategies across TPU and GPU resources.\nOptimize cluster performance, utilization, availability, and cost efficiency.\nDevelop infrastructure blueprints and reference architectures for AI platforms. AI Platform Operations & Engineering\nDefine operational models for AI infrastructure management.\nImplement cluster lifecycle management, upgrades, patching, and maintenance strategies.\nDesign automated provisioning and deployment processes using Infrastructure as Code (IaC).\nEstablish platform automation using CI/CD and GitOps methodologies.\nDevelop operational standards for capacity planning and infrastructure scaling. Resource Allocation & Optimization\nDesign mechanisms for: o Resource allocation o Quota management o Workload scheduling o Chargeback/showback models\nImplement intelligent resource utilization and optimization strategies.\nEstablish cost governance and monitoring frameworks for TPU/GPU consumption.\nImprove utilization efficiency across shared AI compute environments. Observability & Monitoring\nDefine and implement platform observability frameworks.\nEstablish: o Monitoring o Logging o Tracing o Performance analytics\nBuild operational dashboards for TPU, GPU, and cluster health monitoring.\nCreate alerting and incident management processes for critical AI workloads. Security & Compliance\nDesign security controls aligned to enterprise cloud security standards.\nImplement: o Identity and Access Management (IAM) o Workload Identity o Network segmentation o Secret management o Encryption controls\nEstablish secure multi-tenant AI environments.\nSupport compliance and governance requirements for AI workloads. Stakeholder Engagement\nCollaborate directly with KLA engineering leadership and AI teams.\nLead technical workshops, architecture reviews, and roadmap discussions.\nTranslate business and engineering requirements into scalable platform solutions.\nMentor engineering teams on GCP AI infrastructure best practices.\nAct as the primary SME for AI platform architecture and implementation\nSkill Requirements\nGoogle Cloud Platform\nGoogle Kubernetes Engine (GKE)\nCloud TPU\nCompute Engine GPUs\nCloud Storage\nVPC Networking\nIAM\nCloud Monitoring\nCloud Logging\nCloud Operations Suite Kubernetes & Containerization\nKubernetes Administration\nCluster Autoscaling\nNode Pool Management\nResource Quotas\nWorkload Scheduling\nMulti-Cluster Architectures\nService Mesh Technologies AI/ML Infrastructure\nTensorFlow\nPyTorch\nJAX\nDistributed Training Frameworks\nMLOps Platforms\nModel Training Pipelines\nAI Infrastructure Optimization DevOps & Automation\nTerraform\nInfrastructure as Code (IaC)\nGitOps\nCI/CD Pipelines\nArgoCD\nJenkins\nGitHub Actions Observability & Security\nPrometheus\nGrafana\nOpenTelemetry\nCloud Monitoring\nCloud Logging\nSecurity Hardening\nIdentity Management\nKubernetes Security\nOther Requirements\nGoogle Cloud Professional Cloud Architect Certification.\nGoogle Cloud Professional Machine Learning Engineer Certification.\nExperience with Vertex AI and enterprise MLOps platforms.\nExperience with large language model (LLM) training environments.\nExperience supporting multi-petabyte AI datasets.\nFamiliarity with NVIDIA AI ecosystem and CUDA-based workloads.\nExperience implementing FinOps strategies for AI infrastructure.","description_format":"text","description_chars":5859,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-09T18:55:32Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":28,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-solution-architect-google-cloud-platform-gcp","json_url":"https://alion.io/job/hcltech-solution-architect-google-cloud-platform-gcp.json","meta":{"generated_at":"2026-10-11T21:48:49Z","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":11005,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":225},"rest":"https://alion.io/mcp/rest/get_company?id=225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhcltech-solution-architect-google-cloud-platform-gcp"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fhcltech-solution-architect-google-cloud-platform-gcp"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fhcltech-solution-architect-google-cloud-platform-gcp"},{"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/hcltech-solution-architect-google-cloud-platform-gcp\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhcltech-solution-architect-google-cloud-platform-gcp"}]}