AI Architect

As a Gen AI Architect, your primary responsibility will be to design and implement generative AI-based solutions in collaboration with cross-functional teams. You will play a key role in leading the design, governance, and industrialization of enterprise-grade GenAI platforms and solutions across engineering and manufacturing domains. This position requires a combination of deep technical architecture skills, strategic advisory expertise, and delivery governance to enable scalable, secure, and business-aligned GenAI transformation for global clients in various business domains. Key Responsibilities: - Design and implement generative AI-based solutions in collaboration with cross-functional teams - Lead the design, governance, and industrialization of enterprise-grade GenAI platforms and solutions - Work on AI transformation programs for global clients, focusing on scalable, secure, and business-aligned solutions - Collaborate with stakeholders at CXO and VP levels for effective communication and solution visualization - Utilize your expertise in deep learning frameworks such as TensorFlow and PyTorch for building and deploying generative AI models - Demonstrate proficiency in cloud computing platforms like AWS, Azure, or Google Cloud for deploying AI models - Apply your knowledge of programming languages like Python, R, or other relevant coding platforms for AI model development - Ensure data governance, data quality, and data security aspects are considered 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 - Lead large, cross-functional global teams and take ownership of AI & GenAI transformation programs Qualifications Required: - Masters or Bachelors degree in computer science, Data Science, AI, Statistics, Machine Learning, or related fields - Strong problem-solving and critical-thinking abilities for analyzing complex business challenges and proposing AI-driven solutions - Proficiency in building and deploying generative AI models, including expertise in deep learning frameworks such as TensorFlow and PyTorch - Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud for deploying AI models - Experience in programming languages like Python, R, or other coding platforms relevant to AI model development - Good understanding of data governance, data quality, and data security aspects for structured and unstructured data - Ability to work in a collaborative, cross-functional team environment Please note that the working model for this role is 5 days a week in the office, and the notice period required is immediate to one month. This full-time, permanent position is available in Mumbai, Pune, Chennai, Hyderabad, Vadodara, and Bangalore. As a Gen AI Architect, your primary responsibility will be to design and implement generative AI-based solutions in collaboration with cross-functional teams. You will play a key role in leading the design, governance, and industrialization of enterprise-grade GenAI platforms and solutions across engineering and manufacturing domains. This position requires a combination of deep technical architecture skills, strategic advisory expertise, and delivery governance to enable scalable, secure, and business-aligned GenAI transformation for global clients in various business domains. Key Responsibilities: - Design and implement generative AI-based solutions in collaboration with cross-functional teams - Lead the design, governance, and industrialization of enterprise-grade GenAI platforms and solutions - Work on AI transformation programs for global clients, focusing on scalable, secure, and business-aligned solutions - Collaborate with stakeholders at CXO and VP levels for effective communication and solution visualization - Utilize your expertise in deep learning frameworks such as TensorFlow and PyTorch for building and deploying generative AI models - Demonstrate proficiency in cloud computing platforms like AWS, Azure, or Google Cloud for deploying AI models - Apply your knowledge of programming languages like Python, R, or other relevant coding platforms for AI model development - Ensure data governance, data quality, and data security aspects are considered 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 - Lead large, cross-functional global teams and take ownership of AI & GenAI transformation programs Qualifications Required: - Masters or Bachelors degree in computer science, Data Science, AI, Statistics, Machine Learning, or related fields - Strong problem-solving and critical-thinking abilities for analyzin