Senior Fullstack Generative AI Engineer

Senior Fullstack Generative AI Engineer

Job Description

You’re not the person who will settle for just any role.

Neither are we.

Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference.

Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands.

In this role, you’ll help us deliver better care for billions of people around the world.

It starts with YOU. 

In this role, you will:

Senior Fullstack Generative AI Engineer to architect, build, and lead the development of cutting-edge GenAI solutions that solve real-world business problems at scale.

This role is ideal for a hands-on AI leader who brings deep expertise in large language models (LLMs), generative models (GANs, VAEs, diffusion models), AI Agents and LLMOps, with a passion for building scalable, responsible, and high-performing Generative AI applications.

As a senior technical leader, you will drive the strategy, design, and deployment of GenAI systems, mentor junior engineers, and collaborate with product, data, and platform teams to bring GenAI capabilities into production environments.


* Lead the architecture and development of scalable GenAI solutions including LLMs, multimodal models, retrieval-augmented generation (RAG) systems and AI Agents.


* Evaluate and select appropriate foundation models (open-source or commercial) based on business needs and constraints


* Fine-tune and optimize large language models (LLMs) using techniques like prompt engineering, LoRA, PEFT, reinforcement learning (RLHF), and transfer learning.


* Drive innovation through experimentation with GANs, VAEs, diffusion models, and transformer-based architectures.


* Implement robust LLMOps practices for model lifecycle management, versioning, evaluation, and rollback strategies.


* Lead model deployment using cloud-native tools (Azure [preferred], AWS, GCP) and MLOps platforms (e.g Databricks)


* Develop and Enhance features for AI observability including hallucination detection, prompt drift monitoring, and output explainability etc.


* Champion responsible AI practices, ensuring compliance with privacy, security, and fairness standards.


* Act as a technical mentor and thought leader within the AI/ML engineering team.


* Work closely with business and product stakeholders to translate ambiguous problems into AI-driven solutions


* Stay abreast of the latest advancements in GenAI, LLMs, and deep learning research.


* Publish internal research, prototype new capabilities, and drive knowledge sharing across teams

About Us

Huggies®.

Kleenex®.

Cottonelle®.

Scott®.

Kotex®.

Poise®.

Depend®.

Kimberly-Clark Professional®.

You already know our legendary brands—and so does the rest of the world.

In fact, millions of people use Kimberly-Clark products every day.

We know these amazi...