AI Architect II Google Solutions Line

Accountabilities:
The AI Architect II will lead the architecture, development, and implementation of enterprise AI solutions while acting as a trusted technical advisor for customers and internal teams. The role requires strong expertise in AI technologies, cloud platforms, and solution design, combined with the ability to communicate effectively with technical and business stakeholders. Design and implement enterprise AI solutions across customer experience, commerce search, enterprise discovery, and agent-based automation use cases. Support full project delivery lifecycles, including discovery, architecture design, development, testing, deployment, and optimization. Provide senior-level technical guidance on conversational AI, intelligent search, cognitive solutions, and agentic automation. Collaborate with customer stakeholders, engineering teams, sales teams, and strategic partners to deliver successful professional service engagements. Lead solution design discussions, technical workshops, and architecture reviews with diverse audiences. Create comprehensive technical documentation, architecture diagrams, implementation plans, and solution recommendations. Develop AI-powered applications using large language models, vector embeddings, AI frameworks, retrieval augmented generation (RAG), and multimodal AI approaches. Build solutions leveraging Google Cloud technologies and support customers in maximizing cloud AI capabilities. Apply AI-assisted engineering practices using modern development tools to improve productivity, accelerate delivery, and enhance application development workflows. Stay informed on emerging AI trends and contribute to innovation initiatives, technical knowledge sharing, and continuous improvement. Requirements: The ideal candidate has a strong background in AI architecture, cloud engineering, software development, and technical consulting. They are comfortable designing production-grade AI solutions, collaborating with customers, and translating complex business requirements into scalable technical implementations. 4+ years of professional experience in technical consulting, software development, cloud engineering, or a related technical discipline. 2+ years of experience designing, tuning, and implementing production-grade conversational AI, intelligent search, and customer experience solutions. Experience working with Gemini Enterprise for Customer Experience (GECX) or comparable enterprise AI platforms. Demonstrated experience building generative AI solutions using large language models, model fine-tuning, vector embeddings, and AI application frameworks. Experience developing retrieval augmented generation (RAG) and multimodal AI workloads on Google Cloud or similar cloud platforms. Hands-on experience using AI-assisted engineering tools such as GitHub Copilot, Claude Code, and Google Antigravity to accelerate software development. Strong understanding of cloud architecture principles, AI application design, and enterprise technology implementation. Ability to communicate complex technical concepts clearly to customers, engineers, and leadership stakeholders. Strong analytical thinking, problem-solving skills, and ability to manage multiple technical priorities. Excellent written and verbal communication skills with strong documentation capabilities. Benefits: Fully remote work flexibility within Canada. Opportunity to work on innovative AI, cloud, and digital transformation projects with enterprise customers. Exposure to advanced technologies including generative AI, intelligent automation, and cloud-based AI platforms. Continuous learning opportunities through technical training, certifications, and career development programs. Collaborative environment focused on innovation, expertise sharing, and professional growth. Opportunity to work with experienced technology professionals and industry-leading partners. Inclusive workplace culture that values diverse skills, perspectives, and experiences. Supportive environment designed to help employees expand their technical capabilities and career opportunities. Opportunity to contribute to impactful technology solutions that shape the future of digital transformation.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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