Senior Software Architect

Job Description

ABOUT THE ROLE At Amgen, we believe that innovation can and should be happening across the entire company. Part of the Artificial Intelligence & Data function of the Amgen Technology and Medical Organizations (ATMOS), the AI & Data Innovation Lab (the Lab) is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. Weve built algorithms that predict bone fractures in patients who havent even been diagnosed with osteoporosis yet. Weve built software to help us select clinical trial sites so we can get medicines to patients faster. Weve built AI capabilities to standardize and accelerate the authoring of regulatory documents so we can shorten the drug approval cycle. And thats just a part of the beginning. Join us! We are seeking a Senior Software Architect to join the Labs software engineering practice. This role is integral to developing top-tier talent, setting engineering best practices, and evangelizing full-stack development capabilities across the organization. The Senior Software Architect will architect and engineer the technical and data pipelines for digital products that feature AI capabilities, including how data and models will be scaled, monitored, maintained and effectively managed. Roles & Responsibilities: Design end-to-end architecture, with modular components including model orchestration, data pipelines, inference services, and APIs. Ensure performance, robustness and scalability. Evaluate and select frameworks and tools fit for purpose, while enabling standardization and repeatability. Collaborate with software and AI engineers to select data models, modeling approaches, training/tuning, validation and testing strategies. Define versioning strategies and continuous delivery processes for models and APIs. Define and develop model monitoring and maintenance processes, plan scaling strategies. Establish pipelines for model deployment, monitoring, experiment tracking, and retraining. Perform architectural reviews, ensure adherence, identify deviations and design resolutions. Help develop standards, processes, and best practices in AI and full-stack engineering. Provide technical mentorship to software and AI engineers. Effectively communicate architectural decisions to stakeholders across engineering, product management, and executive leadership. Functional Skills: Deep understanding of software engineering best practices. Proficiency in overall software product development lifecycle, including version control, CI/CD, TDD, and agile methodologies. Proven ability to design and implement end-to-end solutions with modular, reusable components and APIs for scale, low latency, and high availability. Strong grasp of how data flows into, through and out of AI systems, from ingestion and preprocessing to inference and feedback loops. Expertise in model monitoring and maintenance processes, as well scaling and deployment strategies. Ability to align technical designs with product goals and user experience. Advanced proficiency managing and deploying infrastructure with the AWS cloud platform, including cost planning, tracking and optimization. Proficiency with backend languages and frameworks (Python, FastAPI, Flask preferred). Proficiency in web technologies (JavaScript, Node.js, React, Angular). Experience with databases (Postgres/DynamoDB). Experience with microservices architecture and containerization (Docker, Kubernetes). Good-to-Have Skills: Familiarity with enterprise software systems in life sciences or healthcare domains. Familiarity with big data platforms and experience in data pipeline development (Databricks, Spark). Knowledge of data security, privacy regulations, and scalable software solutions. Soft Skills: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Ability to mentor and develop team members, promoting their growth and success. Basic Qualifications: Bachelors degree in Computer Science, AI, Software Engineering, or related field. 8+ years of experience in full-stack software engineering, with at least 3 years in an architecture role.