{"id":3175164,"url":"https://alion.io/job/vmware-senior-solution-architect","title":"Senior Solution Architect","company":{"id":3793,"name":"VMware","domain":"vmware.com","url":"https://alion.io/company/vmware","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":36},"experience_years_min":14,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-23T19:35:15Z","employer_posted_date":null,"last_verified_at":"2026-10-23T19:35:15Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking a Senior Solutions Architect to help customers successfully deploy, operate, and scale AI/ML workloads on our GPU Platform-as-a-Service (PaaS) offering. In this customer-facing role, you will work closely with platform engineering, MLOps, data science, and infrastructure teams to design and implement production-ready AI infrastructure solutions built on Kubernetes and GPU-accelerated environments.\n\nAs a senior technical leader, you will serve as a trusted advisor to enterprise customers, lead complex deployments, drive architecture best practices, and help customers maximise the value of their AI infrastructure investments. You will help customers onboard to the platform, optimise workload performance, automate infrastructure, and ensure reliable operations while serving as a strategic technical partner throughout the customer lifecycle.\n\nResponsibilities: \nPartner with customer platform, MLOps, data science, and executive stakeholders to understand AI/ML workload requirements and translate them into scalable platform architectures.\nLead the design and deployment of Kubernetes-based solutions for model training, fine-tuning, and inference workloads.\nGuide customers through onboarding and implementation of the GPU PaaS platform across cloud and hybrid environments.\nArchitect networking, identity management, observability, and security integrations with enterprise systems.\nBuild and maintain automation assets, including Terraform modules, Helm charts, GitOps workflows, and CI/CD pipelines.\nMonitor and troubleshoot production environments, including GPU utilisation, workload performance, cluster health, and cost efficiency.\nLead root cause analysis and remediation efforts for complex customer issues.\nServe as the primary technical advisor and escalation point for assigned customers.\nProvide technical leadership during customer engagements and drive adoption of platform best practices.\nDocument reference architectures, implementation guides, and best practices.\nProvide feedback to Product and Engineering teams to improve platform capabilities and influence product roadmap decisions.\nCollaborate with internal teams to ensure successful customer adoption, expansion, and long-term success.\nMentor junior team members and contribute to the growth of the Solutions Architecture organisation.\n\nRequirements: \n7+ years of experience in Solutions Architecture, DevOps, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, or related fields.\nStrong hands-on experience with Kubernetes in large-scale production environments.\nExperience with at least one programming language, such as Python or Go.\nExperience with AWS, Azure, or GCP, including networking, IAM, and managed Kubernetes services.\nDeep knowledge of Infrastructure as Code and automation tools such as Terraform, Helm, GitOps, and CI/CD platforms.\nFamiliarity with monitoring and observability technologies, including Prometheus, Grafana, OpenTelemetry, or similar.\nStrong understanding of AI/ML infrastructure concepts, including GPU-based workloads, model serving, training pipelines, and resource optimisation.\nProven ability to troubleshoot and resolve complex infrastructure and platform issues.\nExcellent communication, presentation, and customer-facing skills.\nExperience leading technical discussions with both engineering teams and executive stakeholders.\n\nPreferred Qualifications: \nExperience supporting enterprise customers in cloud-native environments.\nFamiliarity with AI/ML frameworks such as PyTorch and TensorFlow.\nExperience with GPU scheduling, autoscaling, and workload optimisation.\nUnderstanding of multi-tenant Kubernetes environments and platform operations.\nExperience working with MLOps or AI infrastructure platforms.\nExperience developing reference architectures and leading technical workshops.\nRelevant certifications such as CKA, CKAD, AWS Solutions Architect, Azure Solutions Architect, or GCP Professional Cloud Architect.\nSkills\naws, azure, ci/cd, gcp, gitops, helm, kubernetes, terraform","description_format":"text","description_chars":4049,"description_truncated":false,"requirements":{"experience_years_min":14,"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":["Cloud Platforms (IaaS & PaaS)","Virtualization & Containers"],"lifecycle":[{"event":"open","at":"2026-10-23T19:35:15Z"}],"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":30,"reasons":["seen:1","win:early"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/vmware-senior-solution-architect","json_url":"https://alion.io/job/vmware-senior-solution-architect.json","meta":{"generated_at":"2026-10-25T06:22:59Z","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 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