AI Solution Architect Consultant Manager - Banking - WFO - (ID: 705947)

Position: AI Solution Architect Manager
Location: Jakarta
Role Summary & Responsibility:

• Lead the onboarding process for corporate clients, including understanding their existing workflows, pain points, and business objectives.

• Analyze current business processes such as reporting, data aggregation, research, and internal operations, then design how AGENTIC STAR’s autonomous AI agents can automate or improve these workflows.

• Coordinate with the client’s IT department and internal technical team to support platform configuration, including API/MCP connections with external systems such as Box, CRM, ERP, and other enterprise tools.

• Conduct user training sessions, enablement programs, and hands-on workshops to ensure end-users understand how to instruct, collaborate with, and gain value from AI agents.

• Monitor client usage data, identify potential churn risks, and proactively propose new AI agent use cases to increase product adoption, retention, renewals, and upsell opportunities.

• Gather customer feedback, business requirements, and feature requests, then communicate them clearly to the product development team for continuous improvement.

• Act as a trusted advisor to clients by recommending practical AI-driven workflow improvements that align with their business goals.
   

Requirement  

• Strong understanding of business processes, workflow analysis, and process improvement.

• Good technical literacy, especially in AI solutions, SaaS platforms, enterprise systems, API integrations, CRM, ERP, or automation tools.

• Ability to translate business problems into practical AI solution designs.

• Experience in customer success, solution consulting, implementation, business analysis, digital transformation, or solution architecture.

• Strong communication and stakeholder management skills, with the ability to work closely with both business and technical teams.

• Comfortable conducting client workshops, onboarding sessions, and user training.

• Proactive mindset with the ability to identify new use cases, adoption opportunities, and expansion potential.

• Prior experience working with clients in telecommunications, finance, banking, insurance, or manufacturing industries is preferred

• Experience with AI agents, generative AI, workflow automation, or business process automation is a strong advantage.