{"id":4320965,"url":"https://alion.io/job/tekwissen-ai-platform-engineer","title":"AI Platform Engineer","company":{"id":3800775,"name":"TekWissen","domain":"tekwissen.com","url":"https://alion.io/company/tekwissen","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"OpenShift","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Red Hat","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"Active Directory","optional":true},{"name":"ArgoCD","optional":true},{"name":"CUDA","optional":true},{"name":"GitOps","optional":true},{"name":"KServe","optional":true},{"name":"Kubeflow","optional":true},{"name":"NCCL","optional":true},{"name":"ServiceNow","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-11-14T17:35:37Z","employer_posted_date":null,"last_verified_at":"2026-11-14T17:35:37Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Overview\n\nTekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.\n\nPosition: AI Platform Engineer\n\nLocation: Hyderabad/Bangalore\n\nWork Type: Hybrid\n\nJob Type: Full Time\n\nJob Description\n\nSenior AI Platform & GPU-as-a-Service (GPUaaS) Engineer\nWe are looking for a Senior AI Platform & GPUaaS Engineer to build, operate, automate, and optimize enterprise AI infrastructure supporting AI/ML, GenAI, LLMs, HPC, and GPU-accelerated workloads. \nThe role focuses on delivering a scalable, secure, highly available GPU platform using OpenShift, Kubernetes, NVIDIA GPU technologies, and automation. \n\nKey Responsibilities\n\nBuild, manage, and support enterprise OpenShift and Kubernetes platforms.\nOperate and optimize NVIDIA GPU infrastructure for AI/ML workloads.\nEnable LLM model training, fine-tuning, and inferencing.\nAutomate infrastructure and platform services using Ansible, Terraform, and Python/Bash.\nImplement monitoring, observability, capacity planning, and performance optimization.\nManage production operations, incident response, RCA, DR, and platform reliability.\nImplement security, RBAC, IAM, and enterprise compliance controls.\nSupport customer onboarding, GPU workload enablement, and self-service capabilities.\nCollaborate with infrastructure, networking, storage, security, and application teams.\n\nMust-Have Skills\n\n5+ years of Platform, Infrastructure, Cloud, or SRE experience.\n3+ years of Kubernetes and/or Red Hat OpenShift administration.\nStrong Linux administration and production support experience.\nAnsible, Terraform/IaC, Git/GitHub, CI/CD.\nPython and/or Bash scripting.\nMonitoring tools: Prometheus, Grafana, Splunk.\nEnterprise infrastructure, networking, storage, and security fundamentals.\nFamiliarity with AI/ML, LLMs, model training, and inference.\nExperience with NVIDIA GPU infrastructure.\nStrong troubleshooting, communication, and stakeholder management skills.\n\nGood-to-Have Skills\n\nRed Hat OpenShift AI and NVIDIA AI Enterprise.\nNVIDIA GPU Operator, CUDA, NCCL, TensorRT, and DCGM.\nGPU capacity planning, utilization optimization, and MIG.\nGitOps (ArgoCD), MLOps, Kubeflow, KServe, and JupyterHub.\nServiceNow, Active Directory, and enterprise storage integration.\nHPC, distributed training, and multi-cluster GPU environments.\nExperience in regulated environments, preferably banking/financial services.\nExperience: 5+ years overall, with 3+ years in Kubernetes/OpenShift.\nEducation: Bachelor's degree in Computer Science, Engineering, IT, or equivalent experience.\n\nTekWissen® Group is an equal opportunity employer supporting workforce 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