{"id":41344,"url":"https://alion.io/job/amgen-genai-engineer","title":"GenAI Engineer","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","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":437,"ghost_share":0.002,"stale_share":0.831,"repost_share":0.007,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":39972,"max":54081,"currency":"EUR","period":"year","gross":null,"usd_annual":62895},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GraphQL","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"n8n","optional":false},{"name":"Next.js","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Databricks","optional":true},{"name":"Jira","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Power Automate","optional":true},{"name":"Red Teaming","optional":true},{"name":"Smartsheet","optional":true},{"name":"Tableau","optional":true},{"name":"UiPath","optional":true}],"status":"live","first_seen_at":"2026-08-05T00:00:00Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-17T08:58:40Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":73},"description":"Career Category\nInformation SystemsJob Description\nJoin our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces(TM) ranking by Great Place to Work(R) in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201-500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture.\nWe are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology.\nThis is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more.\nLocated in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients.\nWhat we do at AMGEN matters in people's lives.\nGenAI Engineer\nABOUT THE ROLE\nThe Senior Associate Software Engineer is a hands-on software engineering contributor within the Applied AI - AI Productivity and Custom GPT Solutions Practice. The role designs, develops, tests, deploys, and supports secure, scalable, intuitive, and reusable GenAI solutions, including LLM-powered assistants, agents, Custom GPTs, retrieval-augmented generation (RAG) applications, and associated AI capabilities on approved enterprise platforms.\nRESPONSIBILITIES\nGenAI Solution Delivery\nDesign, develop, test, and deploy LLM-powered assistants, agents, Custom GPTs, RAG solutions, APIs, and AI-enabled applications on ChatGPT Enterprise and other approved platforms.\n\nImplement prompt and context strategies, structured outputs, embeddings, vector or hybrid retrieval, tool calling, workflow orchestration, and human-in-the-loop controls.\n\nBuild scalable RAG pipelines that ground responses in trusted enterprise data.\n\nContribute to the GenAI capability roadmap through implementation of MCP-based Apps, ChatGPT Skills, plugins, Workspace Agents, and reusable integration patterns.\n\nDevelop integration layers and event-driven workflows using APIs, RPA, n8n, and approved orchestration tools to connect systems and trigger agent workflows.\n\nDevelop reusable Python services, libraries, templates, and evaluation utilities, and contribute TypeScript, React, or Next.js components when required by the solution.\n\nQuality, Security, and Operations\nImplement automated unit, integration evaluation, and end-to-end tests, along with tracing and monitoring for retrieval quality, response consistency and reliability.\n\nImplement safeguards for prompt injection, data leakage, unauthorized retrieval, insecure tool execution, secrets exposure, excessive agency, and inappropriate model outputs.\n\nApply secure integration and identity patterns using API gateways, OAuth, service identities, delegated authorization, role-based access control, secrets management, least privilege, and user-level auditability.\n\nBuild and maintain CI/CD pipelines and approved cloud deployment configurations using AWS services, containers, serverless compute, or managed platform capabilities.\n\nTroubleshoot defects across application, model, retrieval, data, integration, and infrastructure layers; support incident investigation, remediation, rollback, patching, and performance tuning.\n\nCreate and maintain technical designs, test evidence, runbooks, deployment instructions, and handover materials that support sustainable operations.\n\nCollaboration and Enablement\nPartner with functional teams, product owners, architects, business SMEs, data engineers, platform teams, DevOps, cybersecurity, privacy, and responsible AI stakeholders to translate requirements into reliable solutions.\n\nParticipate in agile planning, backlog refinement, estimation, demonstrations, retrospectives, release activities, and technical design reviews.\n\nReview code and technical designs, apply software engineering standards, and use AI-assisted development tools such as OpenAI Codex or GitHub Copilot with appropriate review, security, and quality controls.\n\nSupport office hours, technical enablement sessions, junior engineers, and knowledge-sharing through reusable examples, engineering patterns, and lessons learned.\n\nCommunicate delivery status, technical risks, dependencies, defects, and recommendations clearly to technical and non-technical stakeholders.\n\nREQUIRED SKILLS AND QUALIFICATIONS\nBasic Qualifications\nMaster's degree with 4 or more years of relevant experience in Computer Science, Information Technology, Engineering, Data Science, or a related field; or\n\nBachelor's degree with 6 or more years of relevant experience in Computer Science, Information Technology, Engineering, Data Science, or a related field.\n\nMust-Have Skills\n4 or more years of professional experience in software development, application engineering, systems integration, or system design.\n\n2 or more years of hands-on experience building, deploying, or supporting production GenAI applications, assistants, agents, Custom GPTs, RAG solutions, or comparable AI-enabled software.\n\nStrong hands-on proficiency in Python and experience developing, testing, debugging, and maintaining production applications, APIs, data services, or integration components.\n\nHands-on experience with prompt and context design, embeddings, vector databases or search, retrieval pipelines, structured outputs, tool integration, agent orchestration, evaluation, guardrails, and observability.\n\nExperience designing and building cloud-native solutions, preferably on AWS, using services such as Amazon Bedrock, AWS Lambda, Amazon EKS or ECS, API Gateway, IAM, networking, monitoring, and event-driven integration.\n\nExperience designing secure RESTful or GraphQL integrations using API gateways, OAuth, service identities, enterprise authentication, role-based access, secrets management, and least-privilege principles.\n\nExperience with automated testing, source control, code review, Git-based workflows, CI/CD, and responsible use of AI-assisted software development tools.\n\nExperience building modern web applications using TypeScript, React, Next.js, component-driven architecture, state management, design systems, and API integration.\n\nWorking knowledge of SQL, files, databases, and governed data-access patterns, with strong troubleshooting and analytical skills across application, model, data, integration, and infrastructure layers.\n\nProfessional Skills\nStrong verbal and written communication skills and the ability to produce clear technical documentation.\n\nAbility to collaborate effectively with global, distributed, cross-functional teams using agile or scaled agile ways of working.\n\nHigh degree of initiative, adaptability, ownership, and self-motivation while delivering high-quality outcomes with appropriate guidance.\n\nAbility to manage multiple priorities, assess gaps and fit, communicate technical risks and tradeoffs, and support shared team outcomes.\n\nPreferred Qualifications\nExperience with OpenAI APIs and SDKs, MCP servers and Apps, ChatGPT Skills, plugins, Workspace Agents, LangChain, LangGraph, n8n, or comparable agent technologies.\n\nExperience with Amazon Bedrock and related agent capabilities, AWS Lambda, Amazon EKS or ECS, Amazon EC2, API Gateway, IAM, VPC networking, or event-driven services.\n\nExperience with Databricks, Unity Catalog, Vector Search, SQL Warehouses, semantic layers, or governed natural-language-to-SQL solutions.\n\nExperience with Power Automate, UiPath, Tableau, Jira, Smartsheet, or comparable automation and delivery tools.\n\nExperience with model and application evaluation, red teaming, responsible AI, AI security, GxP, computer-system validation, regulated technology environments, or relevant technical certifications.\n\nAPPLY NOW\nObjects in your future are closer than they appear. Join us.\nCAREERS.AMGEN.COM\nEQUAL OPPORTUNITY STATEMENT\nAmgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.\nWe will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 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