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Senior, niche GenAI/agent architect role reduces candidate density despite Bangalore metro location.
Medium as GenAI architecture skills transfer widely but enterprise BPM and agentic experience favor similar large enterprises.
High due to 12+ years requirement and mandatory Generative AI, agentic AI, and low-code/BPM expertise.
Own and define enterprise architecture and reference patterns for Generative AI and Agentic AI solutions integrated with low-code/RPA/BPM platforms.
Lead end-to-end design, implementation, and maintenance of AI initiatives including agent orchestration, model integration, and operational facilitation.
Drive adoption through stakeholder communication, UAT/model validation, and rollout of AI-enabled products and features with business and technical teams.
Minimum 12+ years of IT experience including Enterprise Architecture, BPM/low-code automation, and hands-on Generative AI/Agentic AI solution delivery.
Experience designing large-scale, scalable AI and business process solutions with orchestration frameworks (e.g., AWS Agent Core, LangChain) and low-code/no-code platforms.
Strong knowledge of software development lifecycle phases, Agile/Scrum methodologies, and integration of AI agents with BPM workflows and enterprise data.
Location requirement: On-site in Bangalore, Karnataka, India.
Proven leader capable of managing multiple AI and automation initiatives while staying hands-on with prototyping and solution delivery.
Experienced in strategizing AI adoption in business contexts, facilitating enterprise architecture plans with senior management and cross-functional teams.
Effective communicator who can translate complex AI/ML concepts to technical teams and business stakeholders to drive buy-in and implementation.