Senior Generative AI Engineer

About the Role

The engineer will design and scale GenAI solutions—including large language models, multimodal models, retrieval‑augmented generation systems and AI agents—selecting foundation models, fine‑tuning them with techniques such as prompt engineering, LoRA, PEFT, and RLHF, and driving innovation with GANs, VAEs, diffusion and transformer architectures. They will implement LLMOps for lifecycle management, deploy models using cloud‑native tools (Azure preferred) and MLOps platforms, and build observability features like hallucination detection and prompt‑drift monitoring while championing responsible AI. • Architect and develop scalable Generative AI solutions (LLMs, multimodal models, RAG, AI agents). • Evaluate and select open‑source or commercial foundation models. • Fine‑tune and optimize models using prompt engineering, LoRA, PEFT, RLHF, and transfer learning. • Experiment with GANs, VAEs, diffusion models and transformer architectures. • Implement LLMOps for model lifecycle, versioning, evaluation and rollback. • Deploy models via cloud‑native tools (Azure preferred) and MLOps platforms such as Databricks. • Build AI observability features including hallucination detection and prompt‑drift monitoring. • Ensure responsible AI compliance with privacy, security and fairness standards. • Mentor AI/ML engineers and act as a technical thought leader. • Collaborate with business and product stakeholders to translate problems into AI solutions. • Publish internal research and share knowledge across teams.

Key Responsibilities

• ▸genai development
• ▸model selection
• ▸fine‑tuning
• ▸llmops
• ▸cloud deployment
• ▸ai observability

What You Bring

Kimberly‑Clark is seeking a Senior Generative AI Engineer who will help create “Better Care for a Better World.” The role combines deep technical expertise with a drive to make a global impact on billions of consumers through the company’s iconic brands. Required qualifications include a BS or MS in Computer Science or a related field, 6+ years of ML/DL/NLP experience with at least 2 years in GenAI/LLM development, strong Python proficiency and expertise in PyTorch, TensorFlow, Hugging Face, LangChain/Graph, as well as experience deploying scalable APIs, using vector databases, CI/CD, Docker/Kubernetes and cloud AI infrastructure (Azure preferred). Additional expectations are deep knowledge of prompt engineering, model evaluation, responsible AI, large‑scale data processing, reinforcement or unsupervised learning, multimodal generation, and proven leadership of technical teams or AI initiatives. The position is based in the IT Centre, Bengaluru (GDTC), with a hybrid work model, full‑time employee status.

Requirements

• ▸python
• ▸pytorch
• ▸tensorflow
• ▸huggingface
• ▸azure
• ▸genai

Benefits

Employees enjoy flexible work arrangements, a performance culture rooted in authentic caring, and opportunities for career development, wellbeing and sustainability initiatives. The team values safety, mutual respect and human dignity while encouraging original thinking and knowledge sharing. • Flexible hybrid work arrangement. • Career development, wellbeing and sustainability programs.

Work Environment

Hybrid