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Custom GC Apps in Bengaluru is seeking an AI Implementation Strategist for a full-time, on-site role in the Greater Bengaluru Area. You will map existing workflows, identify opportunities for AI-driven optimization, and translate business requirements into actionable solution designs.
The role includes defining implementation roadmaps, overseeing pilot deployments, and coordinating with engineering to ensure tools align with field realities and project constraints.
Custom GC Apps helps general contractors improve how they operate through custom software, AI, and workflow automation. The team works closely with construction companies to understand real-world operations, identify repetitive or inefficient processes, and design practical tools aligned with existing ways of working. Combining construction experience with software engineering expertise, Custom GC Apps builds tailored solutions around current workflows, systems, and priorities instead of forcing rigid platforms. The company focuses on making software and AI more practical, accessible, and valuable for construction businesses of all sizes. For any process that feels too manual, fragmented, or hard to scale, Custom GC Apps aims to find a better, more efficient way to build it.
The AI Implementation Strategist is a full-time, on-site role based in the Greater Bengaluru Area. This role involves collaborating with construction and operations teams to map existing workflows, identify opportunities for AI-driven optimization, and translate business requirements into actionable solution designs. The strategist will define implementation roadmaps, oversee pilot deployments, and coordinate with engineering teams to ensure tools are aligned with field realities and project constraints. Day-to-day responsibilities include gathering and analyzing process data, documenting user requirements, designing and testing AI and automation workflows, and training stakeholders on new solutions. The role also includes ongoing performance monitoring, iterating on implementations based on feedback, and contributing to best practices and playbooks for future AI projects.