**Principal Applied Scientist, Customer Engagement Service - Science at blithequark**

Are you a visionary leader in the field of natural language processing and machine learning, with a passion for transforming customer experiences through conversational AI? Do you have a proven track record of driving innovation and excellence in large language model foundations and agentic AI solutions? If so, we invite you to join blithequark as a Principal Applied Scientist, Customer Engagement Service - Science, and help shape the future of customer service automation. **About blithequark** blithequark is a leading innovator in the field of artificial intelligence, with a commitment to empowering our customers to deliver exceptional results. Our inclusive culture values diversity, equity, and inclusion, and we strive to create a workplace where all employees feel valued, respected, and empowered to succeed. As a Principal Applied Scientist, you will be part of a dynamic team that is dedicated to pushing the boundaries of what is possible in conversational AI. **Key Responsibilities** As a Principal Applied Scientist, Customer Engagement Service - Science, you will lead the development of large language model foundations and agentic AI solutions for customer service automation. Your key responsibilities will include: * **Leading the development of CS large language model foundations**: You will spearhead the development of large language model foundations that deliver exceptional customer experiences across multiple channels, languages, and business verticals. * **Designing and implementing agentic AI architectures**: You will design and implement agentic AI architectures that seamlessly integrate automated chatbots with Associate tooling, driving innovation and excellence in customer service automation. * **Driving optimization strategies**: You will drive optimization strategies, including model quantization, parallelization, and caching, to balance performance and latency, ensuring that our AI-powered tools deliver exceptional results. * **Architecting multi-lingual, multi-channel solutions**: You will architect multi-lingual, multi-channel solutions spanning chat, email, and other text-based interfaces, enabling our customers to deliver exceptional customer experiences across multiple channels. * **Partnering with AGI and Bedrock teams**: You will partner with AGI and Bedrock teams to effectively leverage and optimize LLM infrastructure, driving innovation and excellence in conversational AI. * **Guiding technical strategy**: You will guide technical strategy for transforming both customer experience and Associate operations through generative AI, ensuring that our customers are empowered to deliver exceptional results. **About the Team** As a Principal Applied Scientist, Customer Engagement Service - Science, you will be part of a dynamic team that is dedicated to pushing the boundaries of what is possible in conversational AI. Our team supports core customer segments, including Stores, Digital, Devices, Video, Music, Amazon Business, and delivery operations. As a technical leader for conversational AI, you will shape innovations in customer service automation with visibility at the S-Team level. **Basic Qualifications** To be considered for this role, you must have: * **Master's degree in Computer Science, Machine Learning, or related field**: You must have a Master's degree in Computer Science, Machine Learning, or a related field. * **10+ years of experience in natural language processing and machine learning**: You must have 10+ years of experience in natural language processing and machine learning. * **Proven expertise in LLM optimization and inference techniques**: You must have proven expertise in LLM optimization and inference techniques. * **Strong background in model performance optimization and distributed systems**: You must have a strong background in model performance optimization and distributed systems. * **Experience building production-scale chatbot or conversational AI systems**: You must have experience building production-scale chatbot or conversational AI systems. * **Excellent communication and collaboration skills**: You must have excellent communication and collaboration skills. * **Track record of leading complex technical initiatives**: You must have a track record of leading complex technical initiatives. **Preferred Qualifications** While not required, the following qualifications are preferred: * **Ph.D. in related field**: You may have a Ph.D. in a related field. * **Experience with model quantization, parallelization, and caching techniques**: You may have experience with model quantization, parallelization, and caching techniques. * **Background in agentic AI or autonomous systems**: You may have a background in agentic AI or autonomous systems. * **Expertise in multi-lingual NLP systems**: You may have expertise in multi-lingual NLP systems. * **Experience with enterprise-scale LLM deployments**: You may have experience with enterprise-scale LLM deployments. **Skills and Competencies** To succeed in this role, you must have: * **Strong technical skills**: You must have strong technical skills in natural language processing and machine learning. * **Excellent communication and collaboration skills**: You must have excellent communication and collaboration skills. * **Leadership skills**: You must have leadership skills, with a track record of leading complex technical initiatives. * **Innovation skills**: You must have innovation skills, with a passion for driving innovation and excellence in conversational AI. * **Problem-solving skills**: You must have problem-solving skills, with the ability to analyze complex problems and develop effective solutions. **Career Growth Opportunities and Learning Benefits** As a Principal Applied Scientist, Customer Engagement Service - Science, you will have opportunities to: * **Grow your career**: You will have opportunities to grow your career, with a focus on leadership and innovation. * **Develop your skills**: You will have opportunities to develop your skills, with a focus on natural language processing and machine learning. * **Learn from others**: You will have opportunities to learn from others, with a focus on collaboration and knowledge-sharing. * **Contribute to innovation**: You will have opportunities to contribute to innovation, with a focus on driving excellence in conversational AI. **Work Environment and Company Culture** As a Principal Applied Scientist, Customer Engagement Service - Science, you will be part of a dynamic team that is dedicated to pushing the boundaries of what is possible in conversational AI. Our work environment is: * **Inclusive**: We value diversity, equity, and inclusion, and strive to create a workplace where all employees feel valued, respected, and empowered to succeed. * **Collaborative**: We believe in collaboration and knowledge-sharing, with a focus on driving innovation and excellence in conversational AI. * **Innovative**: We are committed to innovation, with a focus on driving excellence in conversational AI. * **Empowering**: We empower our employees to deliver exceptional results, with a focus on leadership and innovation. **Compensation and Benefits** As a Principal Applied Scientist, Customer Engagement Service - Science, you will be eligible for: * **Competitive compensation**: You will be eligible for competitive compensation, with a focus on total compensation. * **Equity**: You may be eligible for equity, as part of a total compensation package. * **Sign-on payments**: You may be eligible for sign-on payments, as part of a total compensation package. * **Medical, financial, and other benefits**: You will be eligible for a full range of medical, financial, and other benefits, with a focus on total compensation. **How to Apply** If you are a visionary leader in the field of natural language processing and machine learning, with a passion for transforming customer experiences through conversational AI, we invite you to apply for this role. Please submit your application, including your resume and a cover letter, via our internal or external career site. We look forward to hearing from you! Apply for this job