United States - Remote JOB ID R-250799 LOCATION United States - Remote WORK LOCATION TYPE Remote DATE POSTED Aug. 05 2026 CATEGORY Information Systems SALARY RANGE 156190.05USD -211315.95 USD Join Amgen’s Mission of Serving Patients At Amgen if you feel like you’re part of something bigger it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980 we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology Inflammation General Medicine and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer heart disease inflammatory conditions rare diseases and obesity and obesity-related conditions. As a member of the Amgen team you’ll help make a lasting impact on the lives of patients as we research manufacture and deliver innovative medicines to help people live longer fuller happier lives. Our award-winning culture is collaborative innovative and science based. If you have a passion for challenges and the opportunities that lay within them you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Forward Deployed Engineer AI Studio - What you will do Let’s do this. Let’s change the world. In this vital role you’ll join a fun innovative engineering team within the AI & Data Science (AI&D) - organization. You will be part of AI Studio leading the technical delivery of complex AI and automation solutions through discovery solution design build evaluation production deployment early stabilization and measurable value production deployment early stabilization and measurable value. You will maintain technical continuity across the lifecycle working with business stakeholders and multidisciplinary teams to shape the simplest viable solution coordinate execution make delivery trade-offs remove blockers and contribute hands-on to critical components. The role combines enterprise solution engineering applied AI/ML GenAI RAG and agents integration evaluation MLOps/LLMOps security governance and production operations. Technical accountability complements but does not replace explicit product business compliance and long-term support ownership. Responsibilities Lead discovery by clarifying the business workflow users intended outcome value hypothesis acceptance criteria operational constraints data readiness integration dependencies and production implications Translate complex problems into an executable solution design delivery plan technical workstreams estimates milestones dependencies risks acceptance criteria release approach and support transition. Build prototype review or contribute to critical production components to prove feasibility or unblock delivery including AI-enabled applications RAG bounded agents intelligent automation APIs and integrations. Define and maintain the integrated architecture across applications workflows data and knowledge pipelines models retrieval agents APIs enterprise integrations identity access controls observability and human review. Orchestrate delivery across full-stack engineering data science ML and context engineering testing platform security compliance and business roles Establish integrated testing AI evaluation and governance covering functional performance security data model retrieval generation tool-use human-oversight and operational behaviour with explicit release thresholds. Coordinate production readiness through CI/CD staged release monitoring logging SLOs rollback recovery runbooks and controlled deployment support early issue triage stabilization and transition to the operating owner. Communicate evidence risks trade-offs and status clearly measure adoption and value and convert delivery lessons into reusable components accelerators standards documentation and playbooks. What we expect of you - We are all different yet we all use our unique contributions to serve patients. The dynamic professional we seek is a collaborative professional with the following qualifications. Basic Qualifications Doctorate Degree and 1 year of experience in Computer Science IT or related field OR Master’s degree with 8 - 10 years of experience in Computer Science IT or related field OR Bachelor’s degree with 10 - 12 years of experience in Computer Science IT or related field OR Diploma with 12 - 14 years of experience in Computer Science IT or related field Preferred Qualifications Technical discovery and value framing Workflow analysis intended-use definition feasibility assessment data and integration readiness success measures estimates dependency mapping and technical go/no-go recommendations. Enterprise solution architecture and integration End-to-end design across applications APIs services data and knowledge flows models retrieval agents workflows persistence identity security zones enterprise systems and support boundaries. Applied AI/ML and GenAI engineering Production Python and SQL classical ML and NLP awareness foundation-model integration prompt and context management RAG structured output provenance citations bounded tool use permissions recovery and human control. Evaluation quality and regulated delivery Representative evidence baselines gold sets error taxonomies expert adjudication model and retrieval quality task success safety latency reliability failure analysis Responsible AI privacy validation auditability and GxP controls. Cloud DevSecOps and lifecycle operations Cloud-native services containers CI/CD infrastructure as code versioning observability SLOs staged release rollback incidents disaster recovery capacity FinOps runbooks and MLOps/LLMOps. Demonstrated end-to-end technical ownership of at least one production AI ML software data or automation solution that delivered a measurable enterprise outcome. Strong hands-on proficiency in Python and SQL with experience designing or reviewing production software APIs services data flows evaluation pipelines and enterprise integrations. Proven ability to turn complex business problems into coherent technical designs executable delivery plans acceptance criteria and production-readiness evidence while coordinating multidisciplinary teams. Advanced capability in at least one role-defining pillar—Applied AI/ML GenAI/RAG/agents full-stack and integration engineering or AI platform/MLOps—plus credible breadth across the production lifecycle. Advanced RAG knowledge and agent systems Hybrid or graph retrieval knowledge graphs source verification MCP-style integration durable or multi-agent workflows policy enforcement and adversarial testing. Cloud data and AI platforms AWS Bedrock or SageMaker Databricks Spark Kubernetes serverless or event-driven systems infrastructure as code MLflow Airflow Kubeflow observability and FinOps. Full-stack workflow and automation breadth JavaScript or TypeScript modern web applications API gateways distributed workflows process automation document or vision capabilities and human-AI review experiences. Regulated delivery and capability building Life sciences biotechnology pharmaceutical healthcare GxP or validated-system experience reusable frameworks accelerators standards platform capabilities and mentoring. Excellent critical thinking and ability to create clarity structure and forward momentum in ambiguous situations. Strong technical leadership through influence credibility constructive challenge and hands-on problem solving. Clear communication of evidence uncertainty risks trade-offs limitations and delivery status to diverse audiences. Sound judgment ownership and resilience when balancing value speed quality security compliance cost maintainability and supportability across global teams. What you can expect of us - As we work to develop treatments that take care of others we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture we’ll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to relevant skills experience and qualifications. In addition to the base salary Amgen offers a Total Rewards Plan based on eligibility comprising of health and welfare plans for staff and eligible dependents financial plans with opportunities to save towards retirement or other goals work/life balance and career development opportunities that may include A comprehensive employee benefits package including a Retirement and Savings Plan with generous company contributions group medical dental and vision coverage life and disability insurance and flexible spending accounts A discretionary annual bonus program or for field sales representatives a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. and make a lasting impact with the Amgen team. careers.amgen.com - In any materials you submit you may redact or remove age-identifying information such as age date of birth or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship - Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world Amgen fosters an inclusive environment of diverse ethical committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability status or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided 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. Please contact us to request accommodation.