{"id":3938084,"url":"https://alion.io/job/oracle-principal-applied-scientist-17","title":"Principal Applied Scientist","company":{"id":53,"name":"Oracle","domain":"oracle.com","url":"https://alion.io/company/oracle","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":90,"open_postings":337,"ghost_share":0,"stale_share":0.608,"repost_share":0.015,"time_to_fill_p50_days":11,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Computer Vision","optional":true},{"name":"FHIR","optional":true},{"name":"HL7","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-11-02T17:28:39Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-10T18:23:45Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"At Oracle Health and AI (OHAI), we’re not just building the future of healthcare applications - we’re redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we’ve consistently delivered industry-leading AI solutions, notably forthe Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field.\nAs we scale, we’re building a new kind of role at the intersection of applied science, customer partnership, and high-velocity delivery. Our Principal Applied Scientist role is not a traditional research or model-building role - it’s a role for scientists who thrive in the field, turning real clinical workflows into working AI-powered solutions at speed. As part of this expansion, we have open positions in Australia.\nThe Role\nThe Principal Applied Scientist operates at the frontline of customer engagement and solution delivery. Where our scientists advance the core AI platform, the Principal Applied Scientist takes that platform into the real world - embedding with customers, deeply understanding their clinical and operational workflows, and rapidly building, adapting, and shipping AI solutions that create immediate value.\nThis role demands a rare combination: the technical depth to architect and build AI systems, the product instinct to identify what matters in a customer’s workflow, and the velocity to move from problem to prototype to production in days, not months.\nResponsibilities\nEmbed directly with healthcare customers and clinical teams to develop a deep, first-hand understanding of their workflows, pain points, and operational realities.\n\nTranslate observed customer workflows into concrete AI solution designs, identifying high-impact opportunities where generative AI can deliver measurable improvement.\n\nBuild and ship AI-powered prototypes and production solutions at high velocity, using AI-accelerated development practices to compress the cycle from insight to working software.\n\nRapidly iterate on solutions based on live customer feedback, clinical validation, and real-world performance data - treating every deployment as a learning loop.\n\nLeverage AI coding tools, automated testing, and modern acceleration frameworks to sustain a pace of delivery that traditional development cannot match.\n\nServe as the technical bridge between customer needs and OHAI’s core AI platform, feeding field insights back to the Applied Science and Engineering teams to shape the product roadmap.\n\nDesign and execute solution architectures that are pragmatic, deployable, and robust enough for clinical environments, balancing speed with reliability.\n\nDevelop reusable patterns, templates, and toolkits that scale successful deployments across multiple customer sites.\n\nOwn the end-to-end delivery of customer-facing AI solutions, from initial scoping through deployment, monitoring, and handover.\n\nCommunicate complex technical concepts clearly to clinical stakeholders, executives, and non-technical partners, building trust and alignment.\n\nIdentify and manage risks specific to deploying AI in live healthcare settings, including data quality, integration challenges, and change management.\n\nQualifications and Experience\nRequired\nDemonstrated experience in AI-accelerated development - using LLMs, AI coding assistants, and generative AI tools as core parts of your own development workflow to dramatically increase speed and output.\n\nProven ability to rapidly iterate: a track record of moving from ambiguous customer problems to working prototypes in days, not quarters.\n\nStrong experience working directly with customers or end users to understand workflows, gather requirements, and co-design solutions - not from a spec document, but from direct observation and partnership.\n\nAbility to translate complex, messy, real-world workflows into clear solution architectures and working AI applications.\n\nHands-on proficiency building applications with Large Language Models (LLMs) and generative AI, including prompt engineering, retrieval-augmented generation (RAG), agent-based architectures, and API integration.\n\nStrong software engineering skills with the ability to write production-quality code quickly - comfort across the stack, from backend services to lightweight front-end interfaces.\n\nFamiliarity with modern LLM frameworks and tooling (e.g., LangChain, LlamaIndex, vector stores, function calling, evaluation frameworks).\n\nExcellent communication and stakeholder management skills - the ability to build rapport with clinical staff, present to executives, and navigate complex organisationaldynamics.\n\nA bias for action and comfort with ambiguity: you default to building and testing over planning and analysing.\n\nMust be eligible to work in Australia without sponsorship.\n\nPreferred Qualifications\nExperience deploying AI solutions in healthcare, clinical, or regulated environments.\n\nFamiliarity with clinical workflows, electronic health records (EHR), or health data standards (HL7, FHIR).\n\nExperience with computer vision, multimodal models, or clinical NLP.\n\nBackground in consulting, solutions engineering, customer success, or other customer-facing technical roles.\n\nExperience building internal tools, accelerators, or reusable deployment frameworks.\n\nEducation\nMaster’s or Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field with 3-5+ years of relevant experience in applied AI, solutions engineering, or a comparable role; 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