{"id":2514321,"url":"https://alion.io/job/roche-ai-engineer-2","title":"AI Engineer","company":{"id":13531,"name":"Roche","domain":"roche.com","url":"https://alion.io/company/roche","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":212,"ghost_share":0.024,"stale_share":0.59,"repost_share":0.085,"time_to_fill_p50_days":14,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Basel, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":223000,"period":"year","method":"role_country_seniority_unknown","sample_n":17},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-14T09:35:39Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T22:47:08Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.\nThe Position\nAt Roche, we are committed to delivering greater benefits to our patients by applying digital, data, and AI capabilities to real-world operational challenges. The AI Engineer Level 6 is a senior hands-on technical contributor within the AI Engineering Cluster, responsible for designing, delivering, evaluating, and operating robust AI solutions across Pharma Technical Operations.\nThis role owns meaningful parts of end-to-end AI delivery, including solution architecture, data pipelines, machine learning and GenAI systems, agentic workflows, AI evaluation harnesses, backend services, user interfaces, and production operations. The role partners with business, IT, quality, and technical experts to translate complex operational challenges into reliable, scalable, compliant, and measurable AI-enabled products.\nRole description\nThe role is a senior AI engineering role for someone who combines strong technical depth with practical delivery ownership. The AI Engineer Level 6 is expected to independently lead solution delivery, make sound architectural decisions, mentor other engineers, and ensure AI solutions create measurable business value while meeting reliability, scalability, evaluation, agent management, and compliance expectations.\nAI Solution Leadership & Delivery\nEnd-to-end delivery ownership: Own the technical delivery of AI solutions from problem understanding and design through build, deployment, monitoring, evaluation, adoption, and continuous improvement.\nSolution architecture: Design scalable AI application architectures, including data flows, model integration, GenAI orchestration, APIs, user interfaces, agent workflows, and production infrastructure.\nGenAI and agentic AI: Design and implement advanced GenAI solutions, including RAG architectures, multi-step workflows, tool-using agents, LLM orchestration, and evaluation approaches.\nEngineering quality: Apply and help evolve strong engineering practices, including automated testing, code reviews, CI/CD, observability, documentation, and maintainability.\nProduction performance: Ensure AI solutions are reliable, secure, monitored, cost-aware, and continuously improved in production or production-like environments.\nValue delivery: Translate business needs into technical solutions and help define success metrics that demonstrate operational and business impact.\nModern AI Engineering Capabilities\nEvaluation framework design: Design and implement data science-driven evaluation frameworks for AI, GenAI, RAG, and agentic AI systems, including offline benchmarks, golden datasets, synthetic test cases, human evaluation workflows, and automated regression testing.\nAI harness development: Own the development of AI engineering harnesses for repeatable experimentation, evaluation, validation, and comparison of models, prompts, retrieval strategies, agent behaviors, and tool integrations.\nAgentic AI solution ownership: Design and deliver production-grade agentic AI systems, including agent orchestration, tool integration, task decomposition, state handling, memory patterns, guardrails, and human escalation paths.\nAgent lifecycle management: Manage deployed agents across their lifecycle, including versioning, testing, release management, monitoring, incident response, continuous improvement, and retirement.\nPerformance and risk monitoring: Implement and operate observability for AI systems, including quality metrics, business impact metrics, cost, latency, failure modes, drift, hallucination risk, grounding quality, and operational reliability.\nModel and workflow comparison: Lead structured experiments to compare foundation models, prompts, embeddings, retrieval approaches, orchestration patterns, and agent configurations.\nTechnical Expertise\nAI engineering depth: Apply strong knowledge of machine learning, predictive modeling, time-series, computer vision and multimodal AI, as well as LLMs, RAG, agentic AI, prompt engineering, model evaluation, and AI application design.\nSoftware and platform engineering: Build robust Python-based services, APIs, microservices, dashboards, and integrations using modern software engineering practices.\nCloud and DevOps: Design and deploy solutions using AWS, Docker, CI/CD pipelines, monitoring, and cloud or hybrid deployment patterns.\nData engineering: Work with SQL, operational data, time-series data, structured and unstructured data, and data pipelines required for AI products.\nEvaluation methods: Use quantitative metrics, qualitative review, human-in-the-loop assessment, statistical comparison, and production feedback loops to make engineering decisions.\nRegulated delivery: Partner with IT and quality stakeholders to ensure solutions are designed with appropriate compliance, validation, security, privacy, data governance, responsible AI, traceability, documentation, and lifecycle controls.\nForward Deployed AI Engineering\nEmbedded problem solving: Work directly with business, process, site, and technical teams to understand operational challenges, translate ambiguous needs into concrete AI opportunities, and co-design practical solutions.\nRapid solution development: Move quickly from problem framing to prototypes and production-ready solutions, combining existing platform capabilities, reusable components, and targeted custom engineering.\nLast-mile integration: Adapt and integrate AI solutions into real operational environments, including relevant data sources, workflows, systems, user interfaces, and business processes.\nUser-driven iteration: Work closely with end users to observe solution performance, collect feedback, measure value, and continuously improve usability, quality, and business impact.\nScale through reuse: Turn learnings from individual deployments into reusable patterns, tools, components, and platform capabilities that can be applied across Pharma Technical Operations.\nTechnical Leadership & Mentoring\nEngineering mentorship: Coach less experienced engineers on AI engineering, software development, evaluation practices, agentic systems, cloud deployment, and production operations.\nBest practices: Contribute to shared standards, reusable patterns, and engineering guidelines for the AI Engineering Cluster.\nTechnical problem-solving: Structure ambiguous technical problems, evaluate solution options, and guide teams toward pragmatic, high-impact outcomes.\nCapability building: Help build AI engineering capability across Pharma Technical Operations through knowledge sharing, examples, and hands-on support.\nCollaboration, Adoption & AI Advocacy\nStakeholder partnership: Partner with process experts, business stakeholders, IT, quality, and other digital teams to identify, design, implement, evaluate, and sustain AI-enabled improvements.\nOrganizational alignment: Communicate technical concepts clearly to both technical and non-technical audiences, supporting alignment and adoption.\nAI advocacy: Promote effective, responsible, and value-driven use of AI within Pharma Technical Operations.\nContinuous learning: Stay current with advances in AI, GenAI, agentic systems, evaluation science, software engineering, and cloud technologies, and translate relevant innovations into practical Roche use cases.\nQualifications & Competencies\nBachelor's degree in computer science, data science, engineering, mathematics, or a related field; or equivalent practical experience.\nDemonstrated track record independently delivering production-grade software, AI, machine learning, data, or analytics solutions.\nStrong hands-on Python expertise and solid knowledge of software engineering practices.\nExperience designing and delivering cloud-based or hybrid applications, preferably using AWS.\nHands-on experience with modern agent frameworks and harnesses such as DeepAgents, LangGraph, LangChain, or equivalent technologies.\nStrong understanding of LLMs, RAG, prompt engineering, AI agents, model integration, tool use, and evaluation approaches.\nExperience with APIs, microservices, CI/CD, Docker, monitoring, automated testing, code review practices, and AI evaluation harnesses.\nAbility to translate evaluation results into engineering decisions, product improvements, and stakeholder recommendations.\nAbility to lead technical delivery, manage ambiguity, and influence cross-functional stakeholders.\nExperience in industrial, manufacturing, pharmaceutical, biotechnology, quality, or regulated environments is strongly preferred.\nNB: Please note that the role does not support Relocation Support.\nWho we are\nA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.\nLet’s build a healthier future, together.\nRoche is an Equal Opportunity Employer.","description_format":"text","description_chars":9600,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Prescription Drugs","Diagnostic Tests & IVD","Biologics & Biosimilars","Oncology Therapeutics"],"lifecycle":[{"event":"open","at":"2026-10-14T09:35:39Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":14,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-15T01:52:41Z"},"pay":null,"html_url":"https://alion.io/job/roche-ai-engineer-2","json_url":"https://alion.io/job/roche-ai-engineer-2.json","meta":{"generated_at":"2026-10-15T01:52:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2630,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":13531},"rest":"https://alion.io/mcp/rest/get_company?id=13531"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Froche-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Froche-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Froche-ai-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/roche-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Froche-ai-engineer-2"}]}