AI Architect - Gen Architect - Generative AI Architect - AI ML Architect - Solution Architect

As a Gen AI Architect, you will be responsible for designing and implementing generative AI-based solutions in collaboration with cross-functional teams. Your role will involve leading the design, governance, and industrialization of enterprise-grade GenAI platforms and solutions for engineering and manufacturing domains. This position requires a combination of deep technical architecture expertise, strategic advisory skills, and delivery governance to enable scalable, secure, and business-aligned GenAI transformation for global clients across various business domains. Key Responsibilities: - Design and implement generative AI-based solutions - Collaborate with cross-functional teams - Lead the design, governance, and industrialization of GenAI platforms - Provide strategic advisory for GenAI transformation - Ensure delivery governance for enterprise-grade solutions - Work on AI projects in engineering and manufacturing domains Qualifications: - Masters or Bachelors degree in computer science, Data Science, AI, Statistics, Machine Learning, or related fields - Strong problem-solving and critical-thinking abilities - Proficiency in building and deploying generative AI models - Expertise in deep learning frameworks such as TensorFlow and PyTorch - Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud - Experience in programming languages like Python, R, or other relevant coding platforms - Understanding of data governance, data quality, and data security for structured and unstructured data - Familiarity with RAG, vector search, embeddings, semantic retrieval, Agentic workflows, tool calling, memory systems, Prompt engineering, tuning strategies, evaluation frameworks, multi-model orchestration, and inference optimization - Ability to work in a collaborative, cross-functional team environment - Leadership experience with large, cross-functional global teams - Strong stakeholder management skills at CXO and VP levels - Excellent communication skills for executive storytelling and solution visualization (Note: No additional details of the company were provided in the job description) As a Gen AI Architect, you will be responsible for designing and implementing generative AI-based solutions in collaboration with cross-functional teams. Your role will involve leading the design, governance, and industrialization of enterprise-grade GenAI platforms and solutions for engineering and manufacturing domains. This position requires a combination of deep technical architecture expertise, strategic advisory skills, and delivery governance to enable scalable, secure, and business-aligned GenAI transformation for global clients across various business domains. Key Responsibilities: - Design and implement generative AI-based solutions - Collaborate with cross-functional teams - Lead the design, governance, and industrialization of GenAI platforms - Provide strategic advisory for GenAI transformation - Ensure delivery governance for enterprise-grade solutions - Work on AI projects in engineering and manufacturing domains Qualifications: - Masters or Bachelors degree in computer science, Data Science, AI, Statistics, Machine Learning, or related fields - Strong problem-solving and critical-thinking abilities - Proficiency in building and deploying generative AI models - Expertise in deep learning frameworks such as TensorFlow and PyTorch - Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud - Experience in programming languages like Python, R, or other relevant coding platforms - Understanding of data governance, data quality, and data security for structured and unstructured data - Familiarity with RAG, vector search, embeddings, semantic retrieval, Agentic workflows, tool calling, memory systems, Prompt engineering, tuning strategies, evaluation frameworks, multi-model orchestration, and inference optimization - Ability to work in a collaborative, cross-functional team environment - Leadership experience with large, cross-functional global teams - Strong stakeholder management skills at CXO and VP levels - Excellent communication skills for executive storytelling and solution visualization (Note: No additional details of the company were provided in the job description)