Gen AI Architect

Location: Global | Experience Level: Senior | Role Type: Full-Time | Verticals: Cross-industry

At HCLTech , we’re not just building technology — we’re shaping the future. With 226,500+ innovators across 60 countries and $14.2B in revenue, we’re powering transformation across industries through AI, cloud, engineering, and software. Now, we’re scaling our Generative AI capabilities — and we want you to lead the charge.

Generative AI Architect

We’re looking for a trailblazing Gen AI Architect to design and deploy next-gen autonomous systems that learn, reason, and make decisions at scale. This is a high-impact role at the intersection of cutting-edge research and enterprise-grade deployment — perfect for someone who thrives in fast-paced, innovation-driven environments.

What You’ll Build & Lead

• AI System Architecture : Architect scalable, modular Gen AI platforms that power real-time intelligence across domains.
• Foundation Model Engineering : Fine-tune and optimize LLMs, transformers, and diffusion models for enterprise-grade performance.
• Data Strategy : Lead data sourcing, integration, and transformation pipelines to fuel high-quality model training.
• Model Lifecycle Management : Own the full lifecycle — training, evaluation, deployment, monitoring, and retraining.
• Neural Network Design : Push the boundaries of NLP, computer vision, and recommendation systems with custom deep learning architectures.
• Enterprise Integration : Embed Gen AI into core business platforms via APIs, microservices, and cloud-native deployments.
• Responsible AI : Champion ethical, transparent, and bias-aware AI practices across all solutions.
• Innovation & R&D : Stay ahead of the curve with continuous experimentation and adoption of emerging Gen AI frameworks.

What You Bring

Must-Have Skills

• Proven experience designing and deploying Gen AI systems using LLMs, transformers, and neural networks
• Expert-level Python; strong in R, Java, or C++
• Hands-on with TensorFlow, PyTorch, Keras, Hugging Face, LangChain
• Cloud-native mindset: AWS, Azure, GCP + Docker, Kubernetes, CI/CD
• Deep understanding of ML/DL algorithms, model evaluation, and data engineering
• Strong communicator and collaborator across technical and business teams

Bonus Points

• Experience with NVIDIA CUDA, cuDNN, TensorRT, and GPU acceleration
• Familiarity with HPC workloads and vector databases (FAISS, Pinecone)
• Knowledge of ethical AI frameworks and global compliance standards

Why HCLTech?

• Work on mission-critical AI systems across industries like healthcare, finance, and high-tech
• Collaborate with global thought leaders in AI, cloud, and digital transformation
• Access state-of-the-art infrastructure and enterprise-scale datasets
• Be part of a culture of innovation, speed, and impact

Ready to architect the future of Gen AI? Apply now and lead the next wave of intelligent transformation.