Our customer is looking to further advance in AI-driven automation to enhance operational efficiency across key business functions. They have established a modern cloud-first technology platform using Google's ecosystem and are building internal AI engineering capabilities. We are looking for a consulting expert who can bridge the gap between business strategy and technical implementation-someone who can work alongside their engineering team to identify high-impact AI opportunities within each operational department and bring them to life quickly.

The tasks:

• Lead structured discovery sessions with different business units (Operations, Finance, HR, Sales, Procurement, etc.), dedicating focused engagement periods to each
• Assess business processes and pain points to uncover areas where intelligent automation can drive measurable value
• Architect and deliver AI-powered automation solutions leveraging the Google Cloud AI stack
• Take solutions from concept through testing to production, working either autonomously or with the internal AI team as needed
• Integrate Gemini capabilities with existing Google Workspace applications to unlock workflow automation
• Implement semantic search and knowledge retrieval patterns to ground AI agent responses in company data
• Configure autonomous agent behaviours including API calls, decision-making logic, and tool orchestration
• Work in Tandem with the organization's machine learning engineering team to achieve technical excellence
• Communicate progress and results to business stakeholders and leadership
• A minimum of 4 years working with enterprise AI initiatives, data strategy, or management consulting
• Deep hands-on experience with the Google Cloud Platform and its AI/ML service portfolio
• Demonstrated ability to architect, build, and deploy intelligent agents using Vertex AI and Agent Builder technologies
• Proficiency in prompt engineering and fine-tuning using Gemini model variants
• Practical experience integrating machine learning models with enterprise data infrastructure via BigQuery
• Knowledge of knowledge base patterns, embeddings, and similarity search for AI-powered applications
• Understanding of multi-step reasoning, agent orchestration, and intelligent workflow design
• Strong capability in understanding business processes and translating them into technical requirements
• Track record of identifying opportunities where AI can create competitive advantage
• Retrieval-Augmented Generation (RAG): Connecting agents to enterprise databases
• Function Calling/Extensions: API integrations and external system interactions
• Vector Search/Vertex AI Vector Search: Semantic search and memory management
• Agentic Workflows: Multi-agent systems and autonomous reasoning

Skills and Experience required:

• A minimum of 4 years working with enterprise AI initiatives, data strategy, or management consulting
• Deep hands-on experience with the Google Cloud Platform and its AI/ML service portfolio
• Demonstrated ability to architect, build, and deploy intelligent agents using Vertex AI and Agent Builder technologies
• Proficiency in prompt engineering and fine-tuning using Gemini model variants
• Practical experience integrating machine learning models with enterprise data infrastructure via BigQuery
• Knowledge of knowledge base patterns, embeddings, and similarity search for AI-powered applications
• Understanding of multi-step reasoning, agent orchestration, and intelligent workflow design
• Strong capability in understanding business processes and translating them into technical requirements
• Track record of identifying opportunities where AI can create competitive advantage
• Retrieval-Augmented Generation (RAG): Connecting agents to enterprise databases
• Function Calling/Extensions: API integrations and external system interactions
• Vector Search/Vertex AI Vector Search: Semantic search and memory management
• Agentic Workflows: Multi-agent systems and autonomous reasoning