{"id":3877381,"url":"https://alion.io/job/t-systems-iberia-lead-ai-platform-engineer-mfd","title":"Lead AI Platform Engineer (m/f/d)","company":{"id":8739,"name":"T-Systems Iberia","domain":"t-systems.es","url":"https://alion.io/company/t-systems-iberia","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["A Coruña, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Knative","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rust","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"TPU","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"AutoGPT","optional":true},{"name":"FAISS","optional":true},{"name":"LangChain","optional":true},{"name":"Milvus","optional":true}],"status":"live","first_seen_at":"2026-11-06T15:07:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-11T05:35:07Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"T-Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.\nWe trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.\n T-Systems is at the forefront of innovation, delivering advanced technology solutions across sectors including automotive, healthcare, and public services. Our AI Foundation Services team builds the platform infrastructure that powers AI inference at scale, including API gateways, authentication, billing, and multi-tenant serving.designs and builds high-performance backend systems and APIs that power intelligent applications across diverse industries. We cultivate a collaborative engineering culture where technical depthcreativity and ownership technical expertise drive real-world impact.\nRole Overview\nAs a Lead AI Platform Engineer, you will design, build, and operate a scalable, production-grade platform for deploying and running autonomous AI agents, including model serving, tool-calling, and state management.\nYou will develop high-performance, low-latency inference services on GPU/TPU clusters, implement autoscaling with Kubernetes and Knative, and build CI/CD and MLOps pipelines for model versioning, canary releases, and rollback.\nYou will also contribute to platform reliability, observability, and security, while developing tools that enable internal teams and external partners to efficiently integrate with and use the AI platform. The role combines software engineering, distributed systems, and AI infrastructure, with a strong focus on delivering secure, scalable, and reliable production solutions.\nResponsibilities and Duties\nDesign and own the core platform that builds, deploys, and runs autonomous AI agents (model serving, tool-calling, state management).\nBuild high-throughput, low-latency inference services on GPU/TPU clusters and implement autoscaling with Kubernetes/Knative.\nCreate CI/CD & MLOps pipelines for model versioning, canary releases, and rollback.\nDefine SLO/SLI, set up monitoring (Prometheus, OpenTelemetry), and lead incident response.\nImplement security controls (IAM, sandboxed execution, data-residency policies).\nDeliver developer-friendly SDKs, CLI tools, and documentation for internal teams and external partners.\nMentor junior engineers and champion best-practice code standards.\n Must-have requirements:\n7+ years software engineering; 4+ years building large-scale distributed systems.\nProficient in Go or Rust and Python; strong Kubernetes, Docker, Helm experience.\nHands-on with model serving frameworks (Triton, vLLM, TensorFlow Serving) and GPU/TPU workloads.\nExperience with event streaming (Kafka/Pulsar) and infrastructure-as-code (Terraform/Pulumi).\nSolid knowledge of LLM concepts, retrieval-augmented generation, and tool-use APIs.\nStrong debugging, observability (Prometheus, Grafana, OpenTelemetry), and security (IAM, Vault) skills.\nExcellent communication and a bias toward shipping reliable, production-grade code.\nNice-to-have requirements:\nPh.D./M.S. in CS or related field.\nExperience with serverless runtimes, vector DBs (FAISS, Milvus), or agent frameworks (LangChain, AutoGPT).\nOpen-source contributions in AI/ML infrastructure.\n What do we offer you?\nWork environment & flexibility\nInternational, dynamic and collaborative environment \nT-Social: social initiatives (sports, community, health, ...)\nHybrid work model (remote/on-site)\nFlexible working hours\nGrowth & development\nCustomized training: access to Coursera to learn whatever you want, whenever you want\nWeekly language classes (English, Spanish & German)\nInternational Mentoring Sessions & Experience Days\nCompensation & benefits\nFlexible compensation plan (health insurance, meal vouchers, childcare, transport)\nTelemedicine\nLife and accident insurance\nSocial fund\nWellbeing & time off\n26+ working days of vacation per year\nFree access to specialist services (medical, legal, wellness)\n100% salary coverage during medical leave\nAnd many more advantages of being part of T-Systems!\nIf you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. 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