Focus: High-level solution design, ecosystem integration, stakeholder strategy, and enterprise-grade deployment on GCP.

Position Overview
We are seeking a Google Cloud Gen AI Architect to lead the technical design and strategy of our AI initiatives. This role requires a blend of hands-on prototyping capability and high-level architectural thinking. You will leverage the full Google Cloud Platform (GCP) ecosystem to design scalable, secure, and cost-effective Generative AI solutions. You will be the bridge between business stakeholders and technical execution, translating complex client needs into robust architectures using Vertex AI and Gemini.

Key Responsibilities

• Vertex AI Solution Architecture: Design end-to-end architectures for Generative AI applications, selecting the right GCP services (e.g., Vertex AI Agent Builder, Conversation, or Search) vs. custom LangChain implementations.
• Architectural knowledge & scalability: Apply the Google Cloud Architecture Framework principles to Gen AI workloads. Design systems that ensure High Availability (HA), handle traffic spikes (auto-scaling), and manage latency requirements for real-time user experiences.
• Client Advisory & Prototyping: Lead technical workshops with clients to define use cases; rapidly build interactive PoCs using Streamlit on Cloud Run or Vertex AI Studio to demonstrate feasibility.
• Enterprise RAG Design: Architect advanced Retrieval-Augmented Generation (RAG) systems, deciding on optimal storage strategies (e.g., BigQuery Vector Search vs. AlloyDB pgvector vs. Vertex AI Vector Search) based on data volume, throughput, and indexing speed.
• Agentic Orchestration Strategy: Define the strategy for autonomous agents, determining when to use Gemini Function Calling versus open-source frameworks, and ensuring agents act safely within enterprise constraints.
• Governance, Security & Cost: Oversee the operational side of LLMs (LLMOps). Implement IAM best practices, manage Vertex AI quotas, design for cost optimization (FinOps), and ensure data residency and compliance.
• Full-Stack Integration: Guide the integration of LLM logic into wider enterprise systems using Cloud Functions, API Gateway, and Pub/Sub, ensuring loose coupling and event-driven reliability.

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Qualifications & Technical Skills

• GCP Ecosystem: Deep expertise in the Google Cloud AI stack, specifically Vertex AI (Model Garden, Studio), Document AI, and BigQuery.
• Architecture Mastery: Proven ability to design cloud-native systems using Microservices and Event-driven patterns. Deep understanding of Distributed Systems, Load Balancing, and State Management in the context of stateless AI APIs.
• Model Expertise: Extensive experience architecting solutions with the Gemini family (Pro, Flash, Ultra) and understanding their specific context windows, reasoning capabilities, and trade-offs between cost and latency.
• Vector Database Strategy: Strategic knowledge of Google-native vector solutions (Vertex AI Vector Search) and how to index and retrieve enterprise data effectively at scale.
• Python & Frameworks: Strong command of Python and deep familiarity with LangChain on Vertex AI and LlamaIndex.
• Soft Skills: Good presentation skills, capable of explaining "Why Google Cloud AI" to stakeholders and defending architectural decisions.

• Fluency in English and Czech/Slovak is required. German is an advantage.

Preferred Certifications

We are looking for candidates who validate their expertise through official Google Cloud credentials:

• PREFERRED:
  • Google Cloud Professional Cloud Architect: Demonstrating your ability to design secure, scalable, and reliable cloud solutions.
  • Google Cloud Professional Machine Learning Engineer: Demonstrating specific expertise in ML pipeline design and model deployment.
• NICE TO HAVE:
  • Google Cloud Professional Data Engineer: For candidates with strong backgrounds in BigQuery and data pipeline orchestration.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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