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.

• 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.

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