{"id":4264931,"url":"https://alion.io/job/novartis-senior-ai-engineer-2","title":"Senior AI Engineer","company":{"id":5824,"name":"Novartis","domain":"novartis.com","url":"https://alion.io/company/novartis","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":89,"ghost_share":0,"stale_share":0.618,"repost_share":0.056,"time_to_fill_p50_days":25,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Prague, Czech Republic","Basel, Switzerland"],"countries":["CZ","CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Terraform","optional":false},{"name":".NET","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS Lambda","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"C#","optional":true},{"name":"DynamoDB","optional":true},{"name":"IAM","optional":true},{"name":"Jetpack Compose","optional":true},{"name":"Kotlin","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"MVVM","optional":true},{"name":"MySQL","optional":true},{"name":"Rest API","optional":true},{"name":"RTOS","optional":true},{"name":"Ubuntu","optional":true},{"name":"ViewModel","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-11-13T16:31:39Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T16:31:39Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Salary Range:\nKč1,010,940.00 - Kč1,877,460.00Job Description Summary\nLocation: Prague, Czech RepublicWorking model: Hybrid\nAbout the role\nThe Software & Workflows organization partners with scientists, data experts and AI specialists across Novartis Biomedical Research to transform scientific workflows and laboratory processes. Our ambition is to make advanced digital and AI capabilities usable, scalable and impactful, helping teams generate better insights, improve decisions and accelerate the discovery of innovative medicines.\nAs a Senior AI Engineer, you will own technical delivery on time-bound software initiatives within this portfolio, combining hands-on engineering with design ownership. You will design and deliver production-grade generative and agentic AI solutions that accelerate biomedical research, building scalable, secure LLM applications and agents on AWS.\nThis is a role for a curious, learning-oriented engineer who can navigate complexity, make thoughtful trade-offs and translate ambiguous problems into focused execution. You will work across engineering, science, architecture, operations and security, ensuring your solutions meet demanding standards for quality, performance, security, compliance and reliability.\nWhat you will work on\nYou will work on agentic AI for drug discovery, scientific workflow automation and lab-in-the-loop systems. This may include end-to-end solutions such as multi-agent pipelines that accelerate target identification, agents that automate complex research workflows across teams, and lab-in-the-loop systems where AI supports experiment design, interpretation of results and the next iteration of research.\nYour focus will be turning emerging agentic AI capabilities into reliable, secure and scalable tools that scientists can depend on.\nJob Description\nKey responsibilities\nDesign and implement production-ready generative and agentic AI solutions on AWS, owning them from design through deployment and operation.\nBuild secure RAG solutions with hybrid search, embeddings, reranking, metadata and enterprise knowledge sources.\nDevelop intelligent agents using Amazon Bedrock AgentCore and agentic frameworks such as Strands, LangGraph, LangChain, CrewAI or a custom orchestration layer.\nImplement multi-agent workflows, human-in-the-loop review, memory management, tool use and end-to-end traceability.\nDesign tool use and function calling so agents can connect securely to APIs, databases and enterprise systems, with MCP preferred where appropriate.\nCreate secure APIs and containerized backend services for models, agents, tools and conversational experiences.\nEstablish evaluation and observability practices, including test sets for agent behavior, LLM-as-judge or human review loops, tracing with tools such as CloudWatch, OpenTelemetry or LangSmith, and cost and latency monitoring.\nHarden prototypes for production with security controls, guardrails, error handling and CI/CD using CDK or Terraform.\nBuild and maintain DevOps and MLOps pipelines, including containerized deployments, infrastructure as code, automated testing and model, data and prompt versioning for reproducibility.\nChampion strong ML engineering practices, including rigorous evaluation, experiment tracking and reproducible pipelines.\nDrive adoption of AI coding tools and provide technical leadership through reusable architectures, coding standards, design reviews and mentoring.\nEssential requirements\n5+ years of professional software engineering experience, including recent hands-on delivery of production-grade LLM and agentic AI solutions.\nProven experience designing and delivering generative AI, RAG and agentic AI solutions on AWS.\nStrong Python, API development, secure software engineering, testing and containerized services experience.\nSolid DevOps and MLOps experience, including CI/CD, infrastructure as code such as CDK or Terraform, containers and reproducible, well-evaluated ML pipelines.\nHands-on experience with Amazon Bedrock, agent orchestration, retrieval and grounding, and evaluation frameworks.\nProficiency with at least one agent framework such as Strands, LangGraph, LlamaIndex, CrewAI or a custom framework.\nGood judgment in solution design, including knowing when a simple workflow is more appropriate than a multi-agent design.\nStrong collaboration and communication skills, with the ability to work across engineering, scientific, architecture, operations and security teams.\nDesirable requirements\nHands-on experience with Bedrock AgentCore, including agent runtime, memory, tool access and identity.\nExperience with MCP clients and servers.\nExperience with AWS services commonly used in agent architectures, such as Lambda, Step Functions, ECS, EKS, API Gateway, DynamoDB, S3 and IAM.\nFluency with AI coding assistants in a professional engineering workflow.\nExperience in a regulated or life-science environment.\nAwareness of responsible AI, including evaluation, guardrails, privacy, security, monitoring and appropriate human oversight.\nAt Novartis, we're committed to reimagining medicine together and rewarding the people who make it happen.\nExpected Annual Base Salary Range for role: 1,010,940.00 - 1,877,460.00 CZK Annual.\nThe base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.\nIn addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.\nThe rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.\nPay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.\nBenefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.\nCommitment to Diversity and Inclusion\nNovartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.\nWhy Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture\nBenefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.\nRead our handbook (PDF 30 MB)\nSkills Desired\nCode Analysis, Hardware Architectures, Microsoft .NET Platform, Model-View-ViewModel (MVVM), MySQL, NoSQL Databases, Object-Oriented Design (OOD), Real-Time Operating Systems (RTOS), Representational State Transfer (REST), Software Architectures, Software Design, Software Documentation, Structured Programming, Systems Architecture, Ubuntu, Unit Testing, Windows Presentation Foundation","description_format":"text","description_chars":7749,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work","Parental leave","Retirement plans"],"hiring_locations":[{"name":"Czech Republic","iso":"CZ","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Oncology Therapeutics","Neurology & CNS Therapeutics","Immunology & Inflammation Therapeutics","Cardiometabolic Therapeutics"],"lifecycle":[{"event":"open","at":"2026-11-13T16:31:39Z"}],"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":25,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-11-13T19:31:44Z"},"pay":null,"html_url":"https://alion.io/job/novartis-senior-ai-engineer-2","json_url":"https://alion.io/job/novartis-senior-ai-engineer-2.json","meta":{"generated_at":"2026-11-13T19:31:44Z","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":38930,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":5824},"rest":"https://alion.io/mcp/rest/get_company?id=5824"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnovartis-senior-ai-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fnovartis-senior-ai-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fnovartis-senior-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/novartis-senior-ai-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnovartis-senior-ai-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4264931}},{"tool":"search_jobs","arguments":{"company":"novartis.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4264931},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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