Teams at Ubiminds

Build, configure, test, deploy, and support AI assistants, agents, intelligent workflows, automations, and low-code applications. The role uses Microsoft Power Platform, Copilot Studio, Azure AI, Agentforce, enterprise integrations, REST APIs, and Microsoft Graph. Responsibilities include prototyping, acceptance testing, production deployment, monitoring, troubleshooting, documentation, and client collaboration. Candidates need 3–6 years of relevant experience, production Power Platform expertise, recent generative AI delivery experience, integration knowledge, ALM experience, and B2-level English proficiency.

Architect and lead a scalable AI-first coding platform where autonomous agents and developers collaborate. Design agentic workflows for planning, coding, testing, and deployment; integrate Claude and other LLMs; build tool-use, orchestration, context-management, and reasoning-loop capabilities; and define cloud-native architectures on AWS. The role requires influencing technical direction, evaluating .NET and alternative ecosystems, and partnering with engineering teams to deliver production-grade developer tooling.

Leads enterprise AI solution discovery, design, governance, prototyping, testing, and production approval across Microsoft and Salesforce platforms. Designs AI agents, assistants, workflows, and low-code applications; assesses feasibility, risk, value, cybersecurity, privacy, and responsible AI requirements. Establishes implementation standards, manages reusable components, tracks adoption, prioritizes backlogs, facilitates workshops, enables users, and advises clients on AI platform roadmaps.