{"id":519589,"url":"https://alion.io/job/agilent-technologies-ai-engineering-data-foundations","title":"AI Engineering & Data Foundations","company":{"id":6171,"name":"Agilent Technologies","domain":"agilent.com","url":"https://alion.io/company/agilent-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":35,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-01T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","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":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":84000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-01T04:29:19Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"Job Description\nAgilent is expanding its AI capabilities across scientific, service, commercial, and operational functions. We are building a team of engineers who can help design, deploy, and scale trusted AI solutions that create measurable business impact.\nWe'reinterested in connecting with experienced professionals across AI Engineering, AI Data Engineering, and related technical disciplines who are passionate about applying AI in real-world environments. Depending on your background and interests, opportunities may focus on AI applications, agentic systems, retrieval foundations, AI-ready data products, platform engineering, or the underlying capabilities that enable AI at scale.\nYou will work within cross-functional AI pods alongside engineers, domain experts, business stakeholders, and platform teams to turn complex business challenges into practical, production-ready solutions.\nWhat You May Work On\nBuildingproductionAI applications, agents, and AI-enabled workflows.\n\nDesigning retrieval foundations for AI solutions, including RAG, vector search, semantic enrichment, andknowledgeassets.\n\nDeveloping AI-ready data products with strong foundations in quality, governance, lineage, and reuse.\n\nCreating reusable capabilities, patterns, and assets that accelerate future AI use cases across the enterprise.\n\nApplying evaluation, monitoring, observability, and governance practices to ensure reliable AI outcomes.\n\nPartnering directly with domain experts to understand workflows and translate business needs into scalable technical solutions.\n\nLeveraging AI-assisted approaches such as metadata generation, entity resolution, and content classification to improve data quality and discoverability.\n\nWe'reParticularly Interested in ProfessionalswithExperience In:\nAI Engineering\nAI agents andAgentic Workflows\n\nRetrieval-Augmented Generation (RAG)\n\nLLM application development\n\nAI evaluation and observability\n\nAI orchestration and integration\n\nProduction AI deployment\n\nAI Data Engineering\nData products and data contracts\n\nAI-ready data foundations\n\nMetadata management and semantic enrichment\n\nRetrievalarchitecture\n\nVector databases and graph technologies\n\nData quality, governance, and lineage\n\nSoftware & Platform Engineering\nFull-stack software development\n\nDistributed systems and APIs\n\nCloud platforms and enterprise integration\n\nPlatform engineering\n\nIdentity, access, and governance controls\n\nQualifications\nWhat We're Looking For:\nTechnical Expertise\nExperience building software, AI, platform, or data solutions in production environments.\n\nFamiliarity with modern AI technologies, data platforms, and enterprisearchitectures.\n\nStrong engineering foundations andcommitmentto quality, reliability, and reusability.\n\nDomain & Delivery Mindset\nStrong problem-solving skills and comfortoperatingin ambiguous environments.\n\nAbility to partner closely with business stakeholders, domain experts, and technical teams.\n\nAn instinct to build solutions that can scale beyond a single project or use case.\n\nCommunication & Influence\nStrong communicationskills and the ability to collaborate across technical and non-technical audiences.\n\nAbility to explain complex concepts clearly and build credibility throughexpertiseand partnership.\n\nCuriosity & Growth Mindset\nCuriosity about AI, both its opportunities and limitations.\n\nCommitment to continuous learning in a rapidly evolving field.\n\nEducation & Seniority\nBachelor's or Master'sdegree, or equivalent practical experience.\n\nTypically,6+ years of relevant experience in software engineering, AI engineering, data engineering, machine learning, platform engineering, or related disciplines.\n\nAdditional Details\nThis job has a full time weekly schedule.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required:\n10% of the TimeShift:\nDayDuration:\nNo End DateJob Function:\nR&D","description_format":"text","description_chars":4554,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-07T23:05:48Z"}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.518,"p_room":0.36,"age_days":43,"expected_fill_days":27,"reasons":["conf:1","stale_co","urgency","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/agilent-technologies-ai-engineering-data-foundations","json_url":"https://alion.io/job/agilent-technologies-ai-engineering-data-foundations.json","meta":{"generated_at":"2026-10-01T18:57:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1235,"day_limit":5000,"remaining_today":3765,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}