Urbanrise
Website:
urbanrise.in
Job details:
About Urbanrise:
Founded by a visionary team of young and passionate experts from the real estate industry, Urbanrise (Formerly known as Alliance Group), one of the best builders in Chennai, Bangalore and Hyderabad, is a promising real estate brand emerging across South India from India’s well-acclaimed Alliance Group who has delivered over 15000+ homes. The organization has 72 million Sq.Ft. both under development and planning stages, with a real estate portfolio of Rs.51, 000 Crores. The Organization is backed & funded by the world’s Topmost Financial Institutions.
The company is a financially stable organisation due to its financial discipline and global brands like ADIA, Kotak Realty Fund and Indostar Realty finance investing in its projects. This ensures timely completion of all its projects without any financial hiccups. Urbanrise is now pioneering the concept of sustainable homes in Chennai, Hyderabad and Bengaluru
Website: www.urbanrise.in
Job Objective:
As an established & reputed real estate organization we need a highly skilled senior leader to spearhead the development of innovative agentic AI-enabled product offerings. This role will focus on building innovative products across functional domains such as CRM, Sales & Marketing, IT, Finance and Land acquisition, HR.
The ideal candidate will lead product architecture, design, development, and launch, while also engaging with internal customers to understand their needs and translate them into agentic AI-driven solutions. Additionally, this role will drive AI thought leadership through conference presentations, webinars, white papers, and research papers, and contribute to building innovative and patentable IP assets.
Desirable skills and Qualifications:
- Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related technical field
- Proven ability to lead, coach and grow engineering teams
- Expertise tin 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 stakehold is non-negotiable
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.
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