2 Inference Services Jobs

You will be joining Amgen, a company that leverages biology and technology to combat challenging diseases and enhance people's lives by providing innovative medicines to millions of patients. With a history of over 40 years in the biotechnology industry, Amgen continues to pioneer innovation through the use of cutting-edge technology and human data. As a Senior Software Architect at Amgen's AI & Data Innovation Lab, you will play a crucial role in the software engineering practice by developing top-tier talent, establishing engineering best practices, and promoting full-stack development capabilities within the organization. Your primary responsibilities will involve designing end-to-end architecture for digital products incorporating AI features, ensuring performance, robustness, and scalability, as well as selecting frameworks and tools to enable standardization and repeatability. You will collaborate closely with software and AI engineers to choose data models, develop modeling approaches, and define versioning strategies and continuous delivery processes for models and APIs. Additionally, you will be responsible for overseeing model monitoring and maintenance processes, scaling strategies, and establishing pipelines for model deployment and retraining. Your role will also involve conducting architectural reviews, developing standards and best practices in AI and full-stack engineering, and providing technical mentorship to the engineering team. To excel in this role, you should have a deep understanding of software engineering best practices, proficiency in software product development lifecycle, and proven experience in designing end-to-end solutions with modular components and APIs for scale, low latency, and high availability. You should also possess expertise in data flow within AI systems, model monitoring, maintenance, scaling, and deployment strategies, as well as proficiency in backend languages and frameworks, web technologies, and databases. Furthermore, familiarity with enterprise software systems in life sciences or healthcare domains, big data platforms, data pipeline development, and knowledge of data security and privacy regulations would be advantageous. Strong communication skills, problem-solving abilities, attention to detail, self-motivation, and the ability to foster a collaborative work environment are essential for success in this role. Basic qualifications for this position include a Bachelor's degree in Computer Science, AI, Software Engineering, or a related field, along with a minimum of 8 years of experience in full-stack software engineering, including at least 3 years in an architecture role. At Amgen, we are committed to providing equal opportunities for all individuals, including those with disabilities, by offering reasonable accommodation throughout the job application process, interview process, essential job functions, and other employment benefits and privileges. If you require any accommodations, please reach out to us to request assistance.,

You are an experienced Solution Architect with a solid background in software architecture and a good understanding of AI-based products and platforms. Your main responsibility will be to design robust, scalable, and secure architectures that support AI-driven applications and enterprise systems. In this role, you will collaborate closely with cross-functional teams, including data scientists, product managers, and engineering leads, to ensure the alignment of business needs, technical feasibility, and AI capabilities. Your key responsibilities will include architecting end-to-end solutions for enterprise and product-driven platforms, such as data pipelines, APIs, AI model integration, cloud infrastructure, and user interfaces. You will guide teams in selecting appropriate technologies, tools, and design patterns for building scalable systems. Additionally, you will work with AI/ML teams to understand model requirements and facilitate their smooth deployment and integration into production environments. In this role, you will define system architecture diagrams, data flow, service orchestration, and infrastructure provisioning using modern tools. Furthermore, you will collaborate with stakeholders to translate business requirements into technical solutions, emphasizing scalability, performance, and security. Your leadership will be crucial in promoting best practices for software development, DevOps, and cloud-native architecture. You will also conduct architecture reviews to ensure compliance with security, performance, and regulatory standards. To be successful in this role, you should have at least 10 years of experience in software architecture or solution design roles. You should demonstrate expertise in designing systems using microservices, RESTful APIs, event-driven architecture, and cloud-native technologies. Hands-on experience with major cloud providers like AWS, GCP, or Azure is essential. Familiarity with AI/ML platforms and components, data architectures, containerization, DevOps principles, and the ability to lead technical discussions are also required skills. Preferred qualifications include exposure to AI model lifecycle management, infrastructure-as-code tools like Terraform or Pulumi, knowledge of GraphQL, gRPC, or serverless architectures, and previous experience in AI-driven product companies or digital transformation programs. In return, you will have the opportunity to play a high-impact role in designing intelligent systems that drive the future of AI adoption. You will work alongside forward-thinking engineers, researchers, and innovators, with a strong focus on career growth, learning, and technical leadership. The compensation offered is competitive and reflective of the value you bring to the role.,