Kenvue 目前正在招聘 a：
我们做什么
在 Kenvue，我们意识到日常护理的非凡力量。我们以一个多世纪的传统为基础，植根于科学，是标志性品牌的品牌 - 包括您已经熟悉和喜爱的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科学是我们的热情所在;关心就是我们的才能。
我们是谁
我们的全球团队由 ~ 22,000 名才华横溢的员工组成，他们的职场文化中，每个声音都很重要，每一个贡献都受到赞赏。 我们热衷于洞察， 创新并致力于为我们的客户提供最好的产品。凭借专业知识和同理心，成为 Kenvuer 意味着每天有能力影响数百万人。我们以人为本，热切关怀，以科学赢得信任，以勇气解决——有绝佳的机会等着您！加入我们，塑造我们和您的未来。有关更多信息，请单击 here.
Role reports to：
Manager位置：
Asia Pacific, India, Karnataka, Bangalore工作地点：
混合你会做什么
We are looking for a Solution Architect to bridge the gap between advanced Data Science and production-grade applications. You will be responsible for designing the end-to-end architecture for Agentic AI systems, Chatbots, and Voice-enabled solutions, ensuring they are seamlessly integrated into our application ecosystem. The ideal candidate understands that an AI solution is only as good as its integration, security, and scalability. You will define the infrastructure prerequisites, oversee API-driven microservices, and lead the alignment between Data Engineering and Application development teams.
Key Responsibilities
· AI Integration Architecture: Design and implement architectures for integrating LLMs (Large Language Models), Agentic AI workflows, and specialized Data Science models into web and mobile applications.
· Voice & NLP Solutions: Architect solutions involving Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Understanding (NLU) for interactive user experiences.
· Infrastructure Design: Define the infrastructure prerequisites (GPU/CPU requirements, Vector Databases like Pinecone/Weaviate, and Scalable Storage) needed to support AI workloads.
· Microservices & APIs: Build and oversee API-first architectures to ensure modularity and high availability using REST, GraphQL.
· AI/ML Integration: Hands-on experience with LangChain, AutoGPT, or CrewAI for building autonomous agents.
· Data Security & Privacy: Implement robust security frameworks for AI, including PII masking, data encryption at rest/transit, and ensuring compliance with global data residency laws.
· Cross-Functional Alignment: Act as the "glue" between Data Engineering (data pipelines/feature stores) and Application teams (frontend/backend) to ensure a cohesive end-to-end flow.
· Technical Pre-requisites: Conduct feasibility studies and define technical requirements (latency thresholds, throughput, and token management) before project kickoff.
Technical Stack:
· Expertise in one of the programming languages like .Net or python with React and Node JS, JavaScript
· Hands-on experience with LangChain, AutoGPT, or CrewAI for building autonomous agents.
· Cloud Platforms: Deep knowledge of Azure AI Services (OpenAI, Speech Service)
· Hands-on experience in Azure for application/model deployment like azure app service, or AKS.
· Strong understanding of CICD using Github action.
Preferred Qualifications
· Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
· 6+ years in a technical leadership or architectural role, with at least 2 years focused on AI/Data Science integration.
· Azure Certification: AZ-305 (Solutions Architect Expert) or Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Agentic AI Business Solutions Architect.
· Soft Skills: Exceptional ability to translate complex technical jargon into business value for non-technical stakeholders.
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