{"schemaVersion":"jobsearcher.job.v1","id":"73a7cbae0e41207d0d2a03d9","url":"https://jobsearcher.com/jobs/73a7cbae0e41207d0d2a03d9","canonicalUrl":"https://jobsearcher.com/jobs/73a7cbae0e41207d0d2a03d9","title":"Artificial Intelligence Engineer","description":"Senior AI Engineer – AI Center of Excellence (AI CoE)Location: New Jersey, Dallas TX ,Santa Clara CA, Ashburn VA, North Virginia(Hybrid)Job Type: FulltimeDomain - AI & Data centers Experience: 12+ YearsRole OverviewThis is a strategic, hands-on senior engineering role within the AI Center of Excellence (AI CoE), responsible for designing, building, and operating AI infrastructure and AI Factory platforms across hybrid environments (on‑prem, private cloud, and public cloud).The role works closely with client and leading OEM partners as well as internal Sales, Pre‑Sales, and Delivery teams, to identify, shape, and execute AI‑driven business opportunities across the US and EU regions.This is a quota‑driven, techno‑commercial role requiring deep technical execution along with stakeholder interaction and customer‑facing leadership.Key ResponsibilitiesAI Infrastructure & Platform EngineeringDesign, deploy, and operate hybrid Kubernetes clusters across AWS, Azure, GCP, and on‑prem environments (bare metal, NVIDIA DGX, Grace Hopper).Own production-grade GPU infrastructure using NVIDIA GPU Operator, including:CUDA, drivers, MIGGPU‑aware scheduling and resource isolation policiesBuild and maintain high‑availability, scalable AI platforms supporting enterprise workloads.MLOps & GenAI Platform DevelopmentBuild production‑grade MLOps pipelines using:Kubeflow PipelinesGitOps (Argo CD / Flux)MLflow / DVCDeploy and operate Large Language Models (LLMs) using:NVIDIA Triton Inference ServerTensorRT‑LLMvLLMCustom FastAPI / gRPC servicesImplement advanced inference techniques:Quantization, LoRADynamic batchingTenant‑level quota enforcementSafety & content filtering integrationsData & Retrieval-Augmented Generation (RAG)Integrate and optimize vector databases for RAG and similarity search:Milvus, Pinecone, Qdrant, Weaviate, FAISSEnable scalable semantic search and GenAI-powered enterprise applications.Observability, Security & ReliabilityImplement full‑stack observability using:Prometheus, GrafanaLoki / ELKOpenTelemetryDefine and monitor SLIs / SLOs for AI platforms.Enforce security and compliance standards:Kubernetes RBACOPA / GatekeeperVault / KMSImage signing, policy enforcementGDPR / HIPAA complianceCost, Performance & Capacity OptimizationOptimize GPU utilization through:Capacity planningAuto‑scaling & spot instancesCost transparency and chargeback modelsImprove platform efficiency while maintaining performance SLAs.Enablement & Technical LeadershipConvert experimentation into reproducible production pipelines.Enable engineering teams through:Technical documentationTutorials and best practicesOffice hours and knowledge sessionsEvaluate emerging technologies and lead PoCs across:NVIDIA innovationsOpen‑source ecosystems (Kubeflow, LangChain, vLLM, TGI, etc.)Drive the AI Infra & Platform technology roadmap.Required Experience & SkillsTechnical Expertise8+ years of hands‑on experience designing and operating production Kubernetes platforms (cloud + on‑prem).Deep expertise in NVIDIA GPU stack (CUDA, MIG, GPU Operator).Strong hands‑on experience with:Kubeflow Pipelines or equivalent MLOps platformsLarge‑scale LLM deployment and inference optimizationProficiency in Python and AI frameworks:PyTorch, TensorFlowHugging Face, LangChainInfrastructure as Code (IaC):Helm, Kustomize, TerraformExperience with vector databases and RAG architectures.Strong SRE / observability background.Security‑first mindset with enterprise compliance exposure.Nice to HaveExperience with NVIDIA DGX and Grace Hopper platforms.Knowledge of OpenShift, k3s, or edge‑focused deployments.Experience with:KServe, LWS, serverless inferenceContributions to open‑source projects (Kubernetes, Kubeflow, Triton, Milvus, vLLM).Certifications:CKACloud AI/ML certificationsNVIDIA certificationsQualificationsB.E / B.Tech with a minimum 60% across academics.Proven experience delivering AI solutions across on‑prem, cloud, and hybrid environments.Strong analytical, strategic thinking, and stakeholder communication skills.Solid understanding of data centers, cloud platforms, AI & GenAI ecosystems.Role SpecificsHands‑on senior engineering roleStrong Techno‑Commercial orientationHigh ownership, visibility, and impact roleDisclaimerHCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation. Compensation and BenefitsA candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.","company":"HCLTech","rawCompany":"hcltech","city":"Ashburn","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:52:14.011Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence Engineer","description":"Senior AI Engineer – AI Center of Excellence (AI CoE)Location: New Jersey, Dallas TX ,Santa Clara CA, Ashburn VA, North Virginia(Hybrid)Job Type: FulltimeDomain - AI & Data centers Experience: 12+ YearsRole OverviewThis is a strategic, hands-on senior engineering role within the AI Center of Excellence (AI CoE), responsible for designing, building, and operating AI infrastructure and AI Factory platforms across hybrid environments (on‑prem, private cloud, and public cloud).The role works closely with client and leading OEM partners as well as internal Sales, Pre‑Sales, and Delivery teams, to identify, shape, and execute AI‑driven business opportunities across the US and EU regions.This is a quota‑driven, techno‑commercial role requiring deep technical execution along with stakeholder interaction and customer‑facing leadership.Key ResponsibilitiesAI Infrastructure & Platform EngineeringDesign, deploy, and operate hybrid Kubernetes clusters across AWS, Azure, GCP, and on‑prem environments (bare metal, NVIDIA DGX, Grace Hopper).Own production-grade GPU infrastructure using NVIDIA GPU Operator, including:CUDA, drivers, MIGGPU‑aware scheduling and resource isolation policiesBuild and maintain high‑availability, scalable AI platforms supporting enterprise workloads.MLOps & GenAI Platform DevelopmentBuild production‑grade MLOps pipelines using:Kubeflow PipelinesGitOps (Argo CD / Flux)MLflow / DVCDeploy and operate Large Language Models (LLMs) using:NVIDIA Triton Inference ServerTensorRT‑LLMvLLMCustom FastAPI / gRPC servicesImplement advanced inference techniques:Quantization, LoRADynamic batchingTenant‑level quota enforcementSafety & content filtering integrationsData & Retrieval-Augmented Generation (RAG)Integrate and optimize vector databases for RAG and similarity search:Milvus, Pinecone, Qdrant, Weaviate, FAISSEnable scalable semantic search and GenAI-powered enterprise applications.Observability, Security & ReliabilityImplement full‑stack observability using:Prometheus, GrafanaLoki / ELKOpenTelemetryDefine and monitor SLIs / SLOs for AI platforms.Enforce security and compliance standards:Kubernetes RBACOPA / GatekeeperVault / KMSImage signing, policy enforcementGDPR / HIPAA complianceCost, Performance & Capacity OptimizationOptimize GPU utilization through:Capacity planningAuto‑scaling & spot instancesCost transparency and chargeback modelsImprove platform efficiency while maintaining performance SLAs.Enablement & Technical LeadershipConvert experimentation into reproducible production pipelines.Enable engineering teams through:Technical documentationTutorials and best practicesOffice hours and knowledge sessionsEvaluate emerging technologies and lead PoCs across:NVIDIA innovationsOpen‑source ecosystems (Kubeflow, LangChain, vLLM, TGI, etc.)Drive the AI Infra & Platform technology roadmap.Required Experience & SkillsTechnical Expertise8+ years of hands‑on experience designing and operating production Kubernetes platforms (cloud + on‑prem).Deep expertise in NVIDIA GPU stack (CUDA, MIG, GPU Operator).Strong hands‑on experience with:Kubeflow Pipelines or equivalent MLOps platformsLarge‑scale LLM deployment and inference optimizationProficiency in Python and AI frameworks:PyTorch, TensorFlowHugging Face, LangChainInfrastructure as Code (IaC):Helm, Kustomize, TerraformExperience with vector databases and RAG architectures.Strong SRE / observability background.Security‑first mindset with enterprise compliance exposure.Nice to HaveExperience with NVIDIA DGX and Grace Hopper platforms.Knowledge of OpenShift, k3s, or edge‑focused deployments.Experience with:KServe, LWS, serverless inferenceContributions to open‑source projects (Kubernetes, Kubeflow, Triton, Milvus, vLLM).Certifications:CKACloud AI/ML certificationsNVIDIA certificationsQualificationsB.E / B.Tech with a minimum 60% across academics.Proven experience delivering AI solutions across on‑prem, cloud, and hybrid environments.Strong analytical, strategic thinking, and stakeholder communication skills.Solid understanding of data centers, cloud platforms, AI & GenAI ecosystems.Role SpecificsHands‑on senior engineering roleStrong Techno‑Commercial orientationHigh ownership, visibility, and impact roleDisclaimerHCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation. Compensation and BenefitsA candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.","datePosted":"2026-04-09T15:52:14.011Z","dateModified":"2026-04-09T15:52:14.011Z","hiringOrganization":{"@type":"Organization","name":"HCLTech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ashburn","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"73a7cbae0e41207d0d2a03d9"},"url":"https://jobsearcher.com/jobs/73a7cbae0e41207d0d2a03d9"}}