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在 Kenvue，我們意識到日常護理的非凡力量。我們以一個多世紀的傳統為基礎，植根於科學，是標誌性品牌的品牌 - 包括您已經熟悉和喜愛的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科學是我們的熱情所在;關心就是我們的才能。
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我們的全球團隊由 ~ 22,000 名才華橫溢的員工組成，他們的職場文化中，每個聲音都很重要，每一個貢獻都受到讚賞。 我們熱衷於洞察， 創新並致力於為我們的客戶提供最好的產品。憑藉專業知識和同理心，成為 Kenvuer 意味著每天有能力影響數百萬人。我們以人為本，熱切關懷，以科學贏得信任，以勇氣解決——有絕佳的機會等著您！加入我們，塑造我們和您的未來。有關更多資訊，請按兩下 here.
Role reports to：
Manager位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
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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