Technical Director

We are seeking a Technical SME- AI Infrastructure & Platforms, a senior technology leader reporting to the CTO, responsible for architecture, scalability, reliability, and evolution of L&T’s AI infrastructure portfolio. This role owns the technical vision, platform strategy, and delivery excellence across GPU infrastructure, AI platforms, and datacenter‑based AI services.The role balances deep technical leadership, platform economics, ecosystem alignment, and executive‑level decision‑making to ensure sustained GPU utilization, platform differentiation, and long‑term competitiveness.Key Responsibilities1. AI Infrastructure Architecture & StrategyOwn end‑to‑end architecture for: GPU compute and AI clustersTraining and inference platformsManaged AI and AI datacenter servicesDefine reference architectures for: Large‑scale GenAI trainingHigh‑throughput inference platformsEnterprise and sovereign AI deploymentsDrive technical decisions across: GPU platforms (NVIDIA, AMD, emerging accelerators)Networking, storage, and interconnect strategiesHybrid cloud and on‑prem AI models2. Platform Engineering & Delivery LeadershipLead AI infrastructure engineering, SRE, and platform teamsEnsure: High availability, performance, and fault toleranceSLA adherence and operational excellenceSecure, compliant, and scalable platform deliveryImplement best practices across: Capacity management and GPU schedulingCluster orchestration and automationPerformance benchmarking and optimization3. AI Platform & Services EvolutionOwn the roadmap for: Managed AI platformsAI factories and private AI cloudsIndustry‑specific AI stacksDefine standard blueprints for: Training vs inference workloadsStartup, enterprise, and GCC use casesDrive platform differentiation through: Tooling, automation, and MLOps integrationsDevelopment experience and self‑service enablement4. Enterprise, Startup & Ecosystem Enablement (Technical)Act as the senior technical sponsor for: Strategic enterprise and GCC customersAI‑native startups scaling to dedicated GPU infrastructureSystem integrators and ISV partnersCollaborate with BD and GTM teams to: Shape technically sound, commercially viable solutionsSupport executive‑level technical discussions with CTOs and AI leadersEnable partners with: Reference architecturePlatform documentation and standardsJoint solution designs5. Capacity Planning, Economics & GovernancePartner with finance and operations on: GPU capacity planning and expansion strategyCapEx / OpEx trade‑offs and ROI modelingUtilization optimization and cost efficiencyEstablish governance frameworks for: Resource allocationPlatform consumption modelsMargin‑aligned service design6. Technology Leadership & Internal CollaborationServe as a core member of the CTO leadership teamDrive cross‑functional alignment across: Datacenter operationsAI platform engineeringSecurity, compliance, and risk teamsMentor senior engineering leaders and build next‑generation AI infrastructure talentSuccess Metrics (KPIs)Platform stability, performance, and scalability metricsGPU capacity utilization efficiency and predictabilityTime‑to‑deploy for AI platforms and clustersPlatform adoption across startups, enterprises, and partnersInfrastructure cost efficiency and margin contributionRequired Qualifications15+ years of experience in: AI infrastructure engineeringCloud platforms or datacenter‑scale systemsHPC / GPU computing environmentsProven leadership in building and scaling: Large‑scale GPU or accelerator platformsAI training and inference environmentsDeep expertise in: AI/ML workloads and GenAI economicsGPU architectures and interconnectsTraining vs inference performance trade‑offsExperience working with: Startups and scale‑upsSystem integrators and ISVsLarge enterprises and regulated customersTrack record of operating at CTO‑1 / VP / Head‑of‑Engineering levelPreferred / Nice‑to‑HaveExperience with sovereign cloud or regulated AI environmentsExposure to MLOps platforms, AI frameworks, and developer toolingPrior role in scaling a new AI infrastructure or platform businessParticipation in industry or open‑source AI initiativesPersonal AttributesStrong technical judgment with systems‑level thinkingAbility to translate business intent into scalable technical platformsComfortable operating in ambiguity and high‑growth environmentsCredible advisor to executive stakeholders, customers, and partnersBuilder mindset with long‑term ownership orientation