AI Architect Manager

Role Overview: You are an experienced AI & Generative AI Solutions Manager with at least 10 years of overall industry experience, including hands-on leadership in designing, implementing, and delivering AI-driven and GenAI enabled solutions. Your deep expertise across the software development lifecycle (SDLC) enables you to lead multiple full stack solution implementations and translate business needs into scalable production-ready AI products. In this role, you will support pre-sales activities by contributing to solutioning, proposal creation, client presentations, and thought leadership. Responsibilities: - Lead, mentor, and develop a cross-functional team of full-stack and AI engineers. - Drive the architecture design and execution of AI-enabled digital solutions. - Collaborate with product managers, designers, and business stakeholders to translate requirements into technical solutions. - Oversee project timelines, sprint planning, code reviews, and engineering best practices. - Ensure AI solutions meet enterprise requirements for quality, security, scalability, and responsible AI compliance. - Conduct code reviews, performance tuning, and prompt optimization. - Design, develop, and integrate solutions using large language models, multimodal models, and custom fine-tuned AI systems. - Evaluate and implement emerging generative AI technologies, frameworks, and toolsets. - Build pipelines for model inference, optimization, and monitoring in production environments. - Implement Retrieval-Augmented Generation (RAG) pipelines integrating vector databases. - Design and optimize prompts chains and agentic workflows for domain-specific use cases. - Collaborate closely with UX teams to ensure world-class customer experiences. - Implement frontend integration with AI features such as chat interfaces, co-pilots, and content generators. - Architect and build secure full-stack applications with scalable APIs and microservices using Python or equivalent backend technologies. - Implement data pipelines and integrate AI services into enterprise systems. - Ensure sound application design principles, including modularity, performance optimization, and cloud-native patterns. Preferred Skills and Experience: - Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. - 10 years of total experience, including at least 3 years in AI/ML solution development and 3 years in software development. - Strong hands-on experience building full-stack applications and AI/ML-powered features. - Strong proficiency in Python and experience with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers). - Proven hands-on experience developing solutions using LLM APIs (OpenAI, Azure, OpenAI Anthropic, Cohere, etc.). - Experience with prompt engineering, embeddings, and vector search. - Deep understanding of cloud architectures, APIs, microservices, and distributed systems. - Experience with UI frameworks such as React, Angular, NextJS, or similar. - Experience in building conversational AI co-pilots or workflow automation tools. - Familiarity with orchestration frameworks like LangChain, LlamaIndex, or Semantic Kernel. - Experience integrating GenAI with enterprise systems (SharePoint, ServiceNow, SAP, etc.). - Understanding of responsible AI principles - data privacy, model safety, and bias mitigation. EY is building a better working world by creating new value for clients, people, society, and the planet while building trust in capital markets. Enabled by data, AI, and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions. Fueled by sector insights, a globally connected multi-disciplinary network, and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Role Overview: You are an experienced AI & Generative AI Solutions Manager with at least 10 years of overall industry experience, including hands-on leadership in designing, implementing, and delivering AI-driven and GenAI enabled solutions. Your deep expertise across the software development lifecycle (SDLC) enables you to lead multiple full stack solution implementations and translate business needs into scalable production-ready AI products. In this role, you will support pre-sales activities by contributing to solutioning, proposal creation, client presentations, and thought leadership. Responsibilities: - Lead, mentor, and develop a cross-functional team of full-stack and AI engineers. - Drive the architecture design and execution of AI-enabled digital solutions. - Collaborate with product managers, designers, and business stakeholders to translate requirements into technical solutions. - Oversee project timelines, sprint planning, code reviews, and engineering best practices. - Ensure AI solu