Urbanrise - Head - Artificial Intelligence
2 weeks ago
Job Responsibilities:-1. Product Development and Leadership- Lead the architecture, design, and development of AI-enabled product offerings.- Oversee the end-to-end product life cycle from concept to launch.- Collaborate with cross-functional teams to ensure seamless integration of AI solutions. - Develop and maintain sophisticated AI software systems, including autonomous agents, neural networks, and deep learning systems.- Articulate and document AI solutions architecture, and product documentation as per standard operating procedure; and share lessons learned from each project.2. Internal customer Engagement and Solution Design- Engage with functional heads who are the internal customers to understand their needs and challenges.- Translate requirements into AI-driven solutions.- Provide consultative support, ensuring the effective implementation of AI technologies.- Serve as a liaison between stakeholders and project teams to facilitate feedback and necessary adjustments.3. Thought Leadership and Branding- Drive AI thought leadership by presenting at conferences, webinars, and industry events.- Author white papers, research papers, and case studies to showcase AI innovations.- Build and maintain a portfolio of innovative and patentable AI products.4. Leadership, Mentoring, and Collaboration- Lead and mentor a team of AI/ML engineers and researchers.- Foster a collaborative environment that encourages innovation and knowledge sharing.- Stay current with the latest advancements in AI, machine learning, and related fields.Desirable skills and Qualifications:- Bachelor's & master's degree in computer science, Artificial Intelligence, or a related strategic field- Proven ability to lead, coach and grow engineering teams- Expertise in resource planning, prioritization, and risk management- Experience in driving software delivery from planning to release in a fast paced, agile environment.- Be well versed with Software Development Life Cycle process, people/resource management.- Strong understanding of product lifecycle, including technical debt management, release planning, and capacity estimation- Expertise in machine learning and agentic AI or Gen AI frameworks like TensorFlow, PyTorch, Keras and LangChain is a bonus- Solid working understanding of deep learning, neural networks, and natural language processing (NLP)- Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud)- Experience with version control systems (e.g., Git) and CI/CD pipelines is a bonus- Strong analytical and problem-solving skills is a must- Excellent communication skills and ability to explain complex AI concepts to nontechnical stake-hold is non-negotiable (ref:iimjobs.com)
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