Senior AI Engineer – Vertex AI & Gemini

General Description

Key Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI solutions using Google Cloud Platform (GCP)
• Build and productionize AI applications leveraging Vertex AI, Gemini, Agent Builder, and Google AI ecosystem services
• Architect and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources and vector databases
• Design and develop multi-agent AI systems capable of orchestrating complex workflows and business processes
• Lead the end-to-end AI solution lifecycle from use case discovery through deployment, monitoring, and optimization
• Develop scalable AI pipelines integrating LLMs, enterprise data platforms, APIs, and business applications
• Implement prompt engineering, agent orchestration, memory management, tool calling, and workflow automation capabilities
• Collaborate with data engineering and platform teams to establish AI infrastructure, governance, and operational frameworks
• Optimize AI model performance, latency, cost efficiency, and production reliability
• Implement security, compliance, monitoring, observability, and responsible AI controls across deployed solutions
• Support UAT activities, stakeholder demonstrations, production rollout, and post-production optimization
• Provide technical leadership and best practices around Generative AI architecture, Agentic AI, and enterprise AI adoption

Required Experience

• 8–15 years of overall software engineering, AI engineering, machine learning, or enterprise technology experience
• Strong hands-on experience building and deploying Generative AI solutions on Google Cloud Platform (GCP)
• Proven expertise with Vertex AI and Gemini enterprise AI capabilities
• Must have successfully delivered at least 2–3 production-grade AI use cases within the Google Cloud ecosystem
• Demonstrated experience deploying both:
• Retrieval-Augmented Generation (RAG) solutions
• Multi-Agent / Agentic AI systems
• Strong understanding of Large Language Models (LLMs), prompt engineering, embeddings, vector search, and agent frameworks
• Experience integrating AI solutions with enterprise applications, APIs, databases, and business workflows
• Strong Python development experience
• Experience with cloud-native architecture, containerization, APIs, and scalable deployment practices
• Knowledge of AI governance, security, monitoring, and operational best practices
• Strong stakeholder management and communication skills
• Ability to work independently within fast-paced consulting and delivery environments

Preferred Experience

• Experience with Vertex AI Agent Builder, Gemini Enterprise, Agent Development Kit (ADK), or similar Google AI technologies
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Vertex AI Vector Search, or equivalent platforms
• Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar agent frameworks
• Experience building enterprise copilots, AI assistants, knowledge management solutions, or intelligent workflow automation platforms
• Previous consulting, professional services, or client-facing project experience
• Experience supporting AI implementations within government, financial services, telecommunications, energy, or enterprise sectors
• Arabic language capability is advantageous but not mandatory
• Google Cloud, Vertex AI, Generative AI, or Machine Learning certifications are advantageous

• Remote Work Setup

• Occasional Travel to Qatar During UAT / Production Rollout