Advanced AI Solution Architect at Kimberly-Clark · Bengaluru

Advanced AI Solution Architect Location: IT Centre Bengaluru GDTC Advanced AI Solution Architect Job Description Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional®.  At Kimberly-Clark, it’s all here for you—innovation, growth, and the chance to make a real impact. Technology Roles You were made to create Better Care for a Better World: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. Here, you’ll work in an environment that promotes sustainability, inclusion, wellbeing, and career development while you help us deliver better care for billions of people around the world.  It starts with YOU. About You In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. Job responsibilities include: We are seeking an experienced and forward-thinking Advanced AI Solution Architect to architect, scale, and govern enterprise-grade Generative AI and Agentic AI platforms that drive measurable business impact. This role is ideal for a hands-on AI leader with deep expertise in large language models (LLMs), AI Agents, RAG systems, LLMOps, and enterprise AI governance — someone who combines strong technical depth with strategic architectural vision. As a senior technical authority, you will lead the architecture, design, and productionization of our flagship AI platforms while actively contributing to enterprise AI governance through the Advanced AI Council. You will partner with product, engineering, data, security, legal and enterprise architecture leaders to ensure our AI ecosystem is scalable, secure, observable, compliant, and built for long-term enterprise adoption. To succeed in this role, you will need the following qualifications: Required Qualifications Architecture and Platform Leadership: Lead the architecture and evolution of enterprise-scale GenAI and Agentic AI platforms, including LLM-based systems, RAG architecture, AI Agents, and multimodal pipelines. Define and institutionalize reference architectures and reusable design patterns across AI platforms. Evaluate and select foundation models (open-source and commercial) based on business objectives, cost efficiency, performance, and risk posture. Design secure, resilient, high-performance cloud-native AI systems (Azure preferred) aligned with enterprise architecture and security standards. Model Strategy and Optimization Fine-tune and optimize large language models using prompt engineering, LoRA, PEFT, transfer learning, and reinforcement learning techniques where applicable. Architect scalable RAG systems, including embedding strategies, vector database integration, and semantic retrieval optimization. Establish robust evaluation frameworks covering semantic accuracy, hallucination detection, precision/recall, explainability, and business-aligned KPIs. Drive experimentation and innovation across transformer architectures and emerging GenAI capabilities. LLMOps and Production Deployment Implement enterprise-grade LLMOps practices for model lifecycle management, version control, evaluation pipelines, monitoring, and rollback strategies. Lead production deployment using cloud-native infrastructure (Azure preferred; AWS/GCP acceptable) and modern MLOps platforms. Ensure scalable API and microservices architecture using FastAPI/Flask, with CI/CD automation and containerization (Docker/Kubernetes). Optimize systems for latency, concurrency, reliability, and cost efficiency in high-scale environments. Observability and Governance Architect and enhance AI observability capabilities, including hallucination detection, prompt drift monitoring, model performance tracking, cost monitoring, and agent behavior analytics. Embed governance-by-design principles into AI platforms, including policy enforcement, access controls, data safeguards, and compliance standards. Serve as a technical advisor within the Advanced AI Council, evaluating build-vs-buy decisions, architectural risk, and enterprise alignment. Champion is responsible for AI practices, ensuring privacy, security, fairness, transparency, and regulatory compliance. Collaboration and Technical Leadership Act as a senior architectural leader and mentor within the AI engineering organization. Translate complex and ambiguous business challenges into scalable, production-ready AI architectures. Partner cross-functionally with enterprise architecture, cybersecurity, legal, data, and product teams to drive alignment and risk mitigation. R&D and Strategic Innovation Stay at the forefront of advancements in GenAI, LLMs, AI Agents, and AI governance frameworks. Prototype emerging capabilities and evaluate evolving tools, models, and vendor ecosystems. Contribute to long-term AI platform strategy and internal knowledge leadership. Preferred Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or a related field. 8+ years of experience in AI/ML systems, including 3+ years in GenAI/LLM architecture and enterprise-scale deployments. Deep expertise in LLMs, RAG systems, AI Agents, and transformer-based architecture. Strong proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and LangGraph. Experience designing and deploying scalable APIs and microservices (FastAPI or Flask). Familiarity with vector databases (FAISS, Pinecone, Weaviate), embeddings, and semantic search. Hands-on experience with CI/CD pipelines, Docker/Kubernetes, and cloud-based AI infrastructure (Azure preferred). Strong understanding of model evaluation, observability, cost optimization, and responsible AI practices. Led by Purpose. Driven by You. Total Benefits We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful. If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you.​ ​ To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the careers website. And finally, the fine print…. For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompasses the experiences of our consumers.  When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Employment is subject to verification of local policies. Veterans and members of the Reserve and Guard are highly encouraged to apply. In-Country Relocation: Kimberly-Clark will support in-country relocation for the chosen candidate for the role, including assistance to obtain proper work authorization. The benefits provided will be per the terms of Kimberly-Clark’s applicable mobility policies. The benefits/policy provided will be decided at Kimberly-Clark’s sole discretion. #LI-Hybrid Primary Location IT Centre Bengaluru GDTC Additional Locations Worker Type Employee Worker Sub-Type Regular Time Type Full time