Senior Automation & AI Lead Developer

Roboyo is a category shaper in Agentic Automation. We help leading brands embed autonomous, AI‑powered agents into their workflows, processes, products and services so they can scale faster and operate smarter. Built on a strong automation heritage, we focus on seamless integration of AI into enterprise level organization, not just proving concepts, but owning outcomes and driving value in every industry we are present. At Roboyo, you’ll join a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence.We are seeking an experienced Senior Automation & AI Lead Developer to serve as a trusted advisor and hands-on technical leader for our enterprise clients. This role is centered on Google Cloud Platform (GCP) — specifically Vertex AI, Google Agentspace, and Gemini-powered agentic automation — while also bridging into the Microsoft automation ecosystem (Copilot Studio, Power Automate) and traditional RPA platforms such as UiPath.You will guide customers through the full lifecycle of automation transformation: from strategic roadmap definition and solution architecture to hands-on development and delivery. You will bring opinionated, experience-backed perspectives on when to use GCP-native agents versus Microsoft Copilot versus UiPath, how to orchestrate multi-agent workflows across cloud ecosystems, and how to harness the latest Gemini models within enterprise automation pipelines.Key ResponsibilitiesClient Advisory & Solution ArchitectureAct as a strategic automation advisor to enterprise clients, translating business challenges into GCP-native and AI-augmented automation solutions.Conduct automation discovery workshops, capability assessments, and opportunity identification exercises with a GCP-first lens.Design end-to-end automation architectures spanning GCP agentic AI, RPA, low-code, and Microsoft Copilot agents where appropriate.Recommend the right tool for the right job — GCP Vertex AI agents, Google Agentspace, Copilot Studio, Lang eco system, Power Automate, UiPath — with clear, defensible rationale.Hands-On Development & Technical LeadershipLead and actively contribute to the development of agentic automation solutions using GCP Vertex AI, Google Agentspace, and Gemini as primary platforms.Build, configure, and deploy AI-powered agents and multi-agent orchestration workflows using Vertex AI Agent Builder, Agent Development Kit (ADK), and Agentspace.Develop and integrate Gemini-powered generative AI capabilities into automation pipelines, including grounding, tool use, and RAG patterns.Architect and implement Microsoft Copilot Studio and Power Automate solutions where the customer's Microsoft footprint demands it.Maintain solid working knowledge of UiPath automation patterns for hybrid automation scenarios that blend RPA with GCP-native agents.Leverage LangChain and open source pro-code eco system for agent building and orchestration.Conduct peer code reviews, establish coding standards, and mentor junior developers on the engagement team.Delivery & Stakeholder EngagementCommunicate complex automation and AI concepts clearly to both technical teams and non-technical business stakeholders.Facilitate executive briefings, architecture review boards, and business case presentations.Manage technical delivery risk, escalate blockers early, and maintain high client satisfaction.Collaborate with project managers, business analysts, and data engineers to deliver integrated solutions on time and within scope.Required Skills & ExperienceGCP Agentic AI & Google Ecosystem (Core — Deep Expertise Required)Vertex AI Agent Builder & Agent Development Kit (ADK)Building, deploying, and orchestrating single and multi-agent systems on GCPTool use, function calling, grounding with Google Search and enterprise data sourcesAgent evaluation, monitoring, and lifecycle management via Vertex AIGoogle AgentspaceDeploying enterprise AI agents with Agentspace for knowledge work automationIntegrating with Google Workspace (Docs, Drive, Gmail, Meet) and enterprise connectorsIdentity, access, and data governance within Agentspace deploymentsGemini Models & Google AI StudioPrompt engineering, system instruction design, and multi-turn conversation flowsGemini function calling, code execution, and multimodal capabilitiesFine-tuning and model customisation via Vertex AI Model GardenGCP Core Services for AutomationCloud Workflows, Pub/Sub, Cloud Functions / Cloud Run for event-driven automationBigQuery, AlloyDB, Vertex AI Search for grounding and RAG pipelinesCloud Composer (Airflow) for orchestrating complex, long-running automation workflowsApigee / API Gateway for secure agent-to-system integrationsMicrosoft Automation & Copilot Ecosystem (Secondary — Solid Proficiency Required)Microsoft Copilot StudioBuilding and deploying AI agents, multi-topic bots, and generative actionsPlugin development, custom connectors, and integration with Microsoft