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Tier-1 brand plus Bangalore presence create moderate competition despite senior, niche GenAI-product requirements.
Role requires specialized GenAI product and enterprise deployment experience, limiting cross-industry transferability.
Explicit 10+ years and many mandatory GenAI, cloud, and architecture skills make shortlisting highly strict.
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Own the technical product roadmap and architecture for AI agents, automation pipelines, and GenAI orchestration within Portfolio Services.
Lead end-to-end deployment of AI/GenAI solutions including containerization, CI/CD, cloud-native deployment, and integration of AI models such as LangGraph, LlamaIndex, Hugging Face.
Collaborate with multiple business units to map workflows to technical solutions and deliver training, while ensuring compliance, monitoring, and continuous improvement of AI systems.
10+ years of experience in product management, technical solution architecture, or AI/ML engineering with hands-on AI/ML development background.
Strong expertise in GenAI system architecture, AI model integration (PyTorch, TensorFlow, LangGraph, LlamaIndex, Hugging Face), and cloud-native platforms (AWS, Azure, or GCP).
Experience in web testing and quality engineering with 4+ years focusing on large web and mobile applications, including automation scripting using JavaScript, Selenium, and Playwright.
Education: Bachelor's or Master's degree in Technology or related field (e.g., B.Tech, MCA, M.Tech), with preferred MBA and product management certifications.
Experienced leader capable of balancing strategic product roadmap planning with hands-on technical delivery of AI solutions at enterprise scale.
Background in AI-powered real estate or enterprise SaaS solutions with strong domain knowledge of commercial real estate operations and automation workflows.
Technically adept communicator able to engage diverse stakeholders, lead cross-functional initiatives, and troubleshoot complex AI and system integration challenges.