{"id":509769,"url":"https://alion.io/job/airbus-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3100,"name":"Airbus","domain":"airbus.com","url":"https://alion.io/company/airbus","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":616,"ghost_share":0.002,"stale_share":0.669,"repost_share":0.013,"time_to_fill_p50_days":27,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":92000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Google ADK","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenShift","optional":false},{"name":"Podman","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TensorFlow","optional":false},{"name":"vLLM","optional":false},{"name":"Reinforcement Learning","optional":true},{"name":"TensorRT","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-09-07T14:08:04Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-10-29T06:29:07Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Job Description:\nSenior Artificial Intelligence Engineer (m/f)\nAirbus Defence and Space is one of the three Divisions of the Airbus Group and Europe’s Number 1 defence and space company. It is the world’s second largest space company and one of the top 10 defence companies globally. Airbus Defence and Space develops and engineers cutting-edge and peerlessly reliable products in the field of defence and space. Its defence and space technologies enable governments and institutions to protect natural resources, societies and individual freedom.\nwww.airbusdefenceandspace.com\nA Global leader in Security Projects\nAirbus Defence and Space stands out amongst its competitors in providing innovative technology and reliable security services. Our aim is to unite three businesses - land and maritime border security, critical national infrastructure protection and site security services - into one thereby, fulfilling the requirements of the security market today and in the future with the latest technology and most attractive service packages.\nhttps://airbusdefenceandspace.com/our-portfolio/other-businesses/security-solutions/ \nInterest group:Artificial Intelligence\nContract type/working time:Permanent / Fulltime\nWorking experience:+5 years in any A.I. related domain OR dedicated studies\n+6 years overall working experience\nWe are seeking a Senior Artificial Intelligence Engineer for Airbus Defence and Space Romania to design, build, integrate, and deploy production-grade software applications powered by AI models. Unlike traditional data science roles focused on model research, this position sits at the intersection of advanced AI and full-stack software engineering. You will transition model proof of concepts into scalable production services, build modern Generative AI pipelines, and manage containerized deployments.\nFrom a business perspective, our projects are mostly security-related, in areas like Intelligence / Data Processing / Data Analysis / Surveillance.\nAreas of impact: Agentic AI / Generative AI / Artificial Intelligence / Machine Learning / Deep Learning / Natural Language Processing\nKey Responsibilities\nEvaluate technical feasibility, convert client requirements into resilient software architectures with granular features, and formulate precise effort estimates.\n\nDesign multi-component secure microservice architectures and scalable REST/FastAPI endpoints for AI model serving.\n\nBuild autonomous agentic systems with complex custom tool usage and advanced multi-modal Generative AI pipelines.\n\nProvide technical guidance for specific projects and mentor junior and mid-level engineers. Assist with recruitment interviews and help establish team best practices and coding standards.\n\nManage Kubernetes deployments, construct automated CI/CD pipelines, and oversee containerized application lifecycles.\n\nOptimize hardware compute utilization, including GPU/Memory sizing and CUDA optimization for efficient inference workloads.\n\nScout emerging software and AI technologies to continually refine the team's standard technology stack.\n\nRequirements:\nSpecific knowledge:\nMandatory\nAt least 5 years of proven experience in software engineering and AI implementations.\n\nStrong background in Artificial Intelligence principles, Deep Learning frameworks (TensorFlow, PyTorch), and Python.\n\nExpertise in object-oriented design, SOLID principles, and building secure JSON APIs.\n\nHands-on experience with GenAI frameworks (e.g. LangChain, Google ADK, vLLM) and vector databases like Qdrant or Milvus.\n\nDeep knowledge of container orchestration (e.g. OpenShift, Docker/Podman, Helm) and in cloud-native infrastructure design.\n\nMulti-agent orchestration, familiarity with productionizing RAG-based applications and evaluation metrics for retrieval and generation., prompt engineering at scale\n\nSolid understanding of Natural Language Processing concepts and their application in production\n\nExperience with Computer Vision algorithms and frameworks\n\nNice to have\nReinforcement learning / Signal Processing / Data Science knowledge\n\nInference serving (TensorRT/Triton)\n\nCompetencies:\nStrong analytical and problem-solving mindset\n\nDedicated customer focus\n\nResults-driven orientation\n\nCollaborative team player thriving in multicultural environments\n\nWhat We Offer\nExciting, meaningful security and intelligence projects in a global tier-1 defence and space company.\n\nContinuous education, a motivating salary, and a comprehensive package of benefits.\n\nThis job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.\nCompany:\nAirbus Defence and Space Romania SRLEmployment Type:\nPermanent-------\nExperience Level:\nProfessionalJob Family:\nDigital By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.\nAirbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.\nAirbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to .\nAt Airbus, we support you to work, connect and collaborate more easily and flexibly. 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