Lead Gen AI Application Engineer
2 weeks ago
At Kimberly-Clark, we strive to deliver innovative solutions for the modern world. By combining cutting-edge technology with a deep understanding of human needs, we create products that make a real difference in people's lives.
Our teams collaborate across functions and geographies to drive growth, improve customer satisfaction, and reduce our environmental footprint. We're committed to making Kimberly-Clark a great place to work, where talented individuals can grow their careers and make a meaningful impact.
About You
We're looking for a talented Lead Gen AI Application Engineer to join our team. As a key member of our AI development team, you'll be responsible for designing and implementing scalable AI architectures, developing and deploying Gen AI solutions, and collaborating with cross-functional teams to drive business results.
Key Responsibilities
• Define and execute the overall Gen AI strategy, designing scalable architectures, managing data pipelines, and selecting appropriate models to align with business needs.
• Lead the development, deployment, and performance optimization of Gen AI solutions, collaborating with cross-functional teams and ensuring ethical AI practices.
• Develop components of the platform's Generative AI capabilities, with a focus on Retrieval-Augmented Generation (RAG) systems, Agentic workflows, and other state-of-the-art generative techniques.
• Build and optimize large-scale backend systems, taking throughput and latency into account. Apply performance optimization techniques, including parallel processing, stream processing, and asynchronous I/O to improve the efficiency and scalability of the platform.
Requirements
• Deep expertise in AI (NLP and Gen AI models) and strong programming skills in Python with frameworks like LangChain.
• Experience with Generative AI technologies, including RAG systems, Agentic workflows, or open-source frameworks such as LangChain and LlamaIndex (Plus).
• Comprehensive knowledge of state-of-the-art technologies such as Generative Pre-trained Transformers (GPT) for natural language processing (NPL), Artificial Intelligence (AI), Machine Learning (ML) algorithms for predictive analytics, seamless cloud-to-cloud integrations for scalable infrastructure, and GraphQL for efficient data queries and APIs.
• Proficiency in cloud computing (AWS, Azure, GCP), scalable AI architecture design, and leadership abilities to mentor and guide AI development teams.
To Be Considered
Click the link to apply for this role 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 position.
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