職務内容：

About HCLTech
HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.
Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit www.hcltech.com

Job Summary
We are seeking an experienced Generative AI Architect to lead the design, development, and deployment of cutting-edge generative AI systems. The ideal candidate will combine deep technical knowledge of AI/ML (particularly large language models and diffusion models) with strong architecture and leadership skills. You will play a critical role in shaping our AI strategy and enabling innovative products powered by generative technologies.

• Architect and design end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives.
• Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies.
• Lead the development of custom LLM applications, including prompt engineering, fine-tuning, RLHF, and model compression.
• Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms.
• Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability).
• Guide the implementation of AI infrastructure (data pipelines, vector databases, model serving, APIs).
• Stay up-to-date on the latest AI research and tools, and make recommendations for adoption.
• Conduct proofs-of-concept, prototypes, and performance benchmarking.
• Mentor junior engineers and contribute to best practices and internal knowledge sharing.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning
• 7+ years of experience in AI/ML, with 3+ years in generative AI (LLMs, diffusion models, etc.).
• Proven experience designing and deploying large-scale AI systems.
• Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning paradigms.
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
• Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and scalable architectures (e.g., microservices, serverless).
• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems.
• Familiarity with responsible AI frameworks and privacy-preserving techniques.

• Experience with open-source LLMs and model distillation/quantization techniques.
• Exposure to multimodal AI models (e.g., CLIP, DALL·E, Imagen).
• Contributions to AI/ML research (e.g., published papers, open-source projects).
• Experience building GenAI copilots, chatbots, or productivity tools.