Job
Description
The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Architect with 10+ Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Key Responsibilities Collaborate with clients to understand AI project needs and define measurable success metrics Design end-to-end Generative AI solutions with a focus on performance, security, and ethical AI Develop models using GANs, VAEs, NLP transformers , and other generative techniques Implement AI solutions utilizing cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, LangChain, Semantic Kernels) Ensure compliance with Responsible AI and Data Privacy principles, mitigating bias and ensuring ethical AI practices Work alongside engineers and data scientists to integrate and optimize AI models into real-world applications Conduct performance monitoring, troubleshooting, and continuous improvements for AI systems Stay updated with AI advancements and share knowledge with internal teams Your Profile Primary Skills Expertise in Generative AI techniques, including image generation, text synthesis, and function calling Strong understanding of AI/ML algorithms, cloud computing, NLP, and computer vision Proficiency in data science tools (NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras) Solid grasp of Responsible AI, fairness in algorithms, and bias mitigation strategies Excellent communication and solution design skills , capable of translating business needs into technical AI architectures. Secondary Skills Knowledge of industry-specific AI applications (healthcare, finance, manufacturing, etc.) Basic project management abilities to oversee timelines and deliverables Foundational data preprocessing and quality assurance expertise
