AI Architect – Manager

🕒 May 29

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

🏥 Healthcare

⚖️ Legal

📣 Marketing

Healthcare • Legal • Marketing

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• Lead and mentor cross-functional teams 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 • Design and implement solutions using large language models, multimodal models, and custom fine-tuned AI systems • Collaborate closely with UX teams to ensure world class customer experiences

🎯 Requirements

• 10+ years of overall industry experience • Experience in AI & Generative AI Solutions • Hands-on leadership in designing, implementing, and delivering AI solutions • Deep expertise across the software development lifecycle (SDLC) • Strong hands-on experience with full-stack solution implementations • Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science, or related field • Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) • Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Cohere, etc.) • Understanding of responsible AI principles - data privacy, model safety, and bias mitigation

🏖️ Benefits

• Competitive salary • Health insurance • 401(k) matching • Remote work options • Paid time off • Professional development opportunities