AI Automation Solution Lead

What you will do

• AI Architecture & Systems Thinking
• Architect Secure AI Solutions: Design and orchestrate end-to-end GenAI and Agentic AI architectures utilizing Google Cloud Platform (Vertex AI) and secure internal environments.
• System Integration: Apply rigorous systems thinking to integrate advanced AI agents seamlessly into existing enterprise infrastructure, ensuring high data integrity and security compliance.
• Blueprint & Governance: Create comprehensive technical architecture designs, dataflow diagrams, and lead solutions through rigorous architecture and security reviews.
• Hands-on Engineering & Innovation
• Lead Developer: Act as the primary, hands-on engineering lead for complex GenAI applications and multi-agent frameworks, writing clean, standardized, and reusable code.
• Bridge the Automation Spectrum: Oversee and optimize our robust AI & RPA footprint, strategically identifying where traditional automation should be enhanced or replaced by intelligent agents.
• Creative Problem Solving: Apply a customer-centric, design-thinking lens to design solutions and rapidly prototype creative, fact-based AI solutions.
• Technical Leadership & Delivery
• Squad Leadership: Lead and mentor a cross-functional delivery team of developers, BAs, QA engineers, and offshore vendor partners to ensure flawless execution.
• Code Quality & Governance: Establish development best practices, conduct code reviews for internal and vendor-delivered artifacts, and maintain a standardized global code repository.
• Stakeholder Translation: Act as the ultimate technical translator, clearly articulating complex AI concepts, capabilities, and risks to non-technical business leaders.
• What Experience You Need
• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related technical discipline.
• 3–5 years of proven experience designing, building, and deploying enterprise-grade AI and automation solutions.
• Hands-on development experience within cloud ecosystems, with a strong preference for Google Cloud Platform (Vertex AI).
• Demonstrated success bridging business requirements with technical execution, creating scalable system designs in complex corporate environments.
• Proven ability to manage technical expectations, lead vendor teams, and independently troubleshoot complex workflow bottlenecks under tight deadlines.
• What Could Set You Apart
• Live production experience deploying Agentic AI frameworks (ADK, LangGraph, or similar), and GenAI solutions (RAG, IDP, etc)
• Advanced knowledge of the UiPath ecosystem and a clear vision of how RPA converges with Large Language Models (LLMs).
• A proactive, self-motivated mindset with a passion for driving AI adoption across an organization to fundamentally change the way people work.
• Demonstrated learning agility and a proactive approach to mastering new technologies.
• Primary Location:
• Function

What Could Set You Apart