AI Automation Solution Lead

Synopsis of the role

In this role, you won't just optimize existing workflows-you will design, build, and deploy sophisticated GenAI and Agentic AI solutions within our secure, globally integrated architecture. You will bridge the gap between cutting-edge autonomous AI frameworks and enterprise-grade RPA (UiPath), transforming complex ideas into robust, system-driven solutions. Leading a talented squad of developers and vendor partners, you will champion a design-thinking approach to redefine how our global enterprise operates.

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.

This is a newly created position.

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