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Premier Cloud

Gen AI Solutions Engineer #124

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Join as a Gen AI Solutions Engineer — Premier Cloud

Job Type: Full-time Travel: Up to 30% (customer sites, Google offices, industry events)

Salary Range: $125,000 – $200,000 CAD per year. Actual base salary is based on individual qualifications, experience, and expertise. Total compensation includes performance-based bonuses alongside a comprehensive benefits package.

About Premier Cloud

As a Google Cloud Premier Partner, Premier Cloud helps SMB and Enterprise clients across North America modernize and innovate through cloud-native solutions, specialized consulting, and managed services.

  • Recognized as one of Canada’s fastest-growing companies with offices in Victoria, BC, and Austin, TX.
  • Certified as a "Great Place to Work" for six consecutive years.
  • Expertise spans Google Workspace migrations, AI/Data infrastructure, and strategic cloud consulting.

The Role & Core Responsibilities

As a Gen AI Solutions Engineer, you will lead the architecture, design, and delivery of enterprise-scale Generative AI solutions on Google Cloud Platform. You will run technical discovery with customer teams, design agentic workflows on Vertex AI, and act as a trusted advisor to both engineers and executives — moving fast from whiteboard concepts to production-grade MVPs. This role requires a strong combination of cloud architecture, MLOps, and hands-on experience deploying scalable AI workloads.

  • Design and deploy agents using Agent Development Kit (ADK), Model Context Protocol (MCP), and Agent-to-Agent (A2A) protocols.
  • Build production systems with Vertex AI Agent Builder, LangChain, and LlamaIndex
  • Architect end-to-end agentic workflows from concept through customer deployment
  • Architect end-to-end multi-agent systems and automated task assistants using Vertex AI Agent Builder, LangChain, or LlamaIndex.
  • Build scalable Retrieval-Augmented Generation (RAG) pipelines, configure semantic search, and integrate with vector databases.
  • Lead client workshops to map out high-impact, narrow use cases that show fast return on investment (ROI)
  • Embed role-based access, prompt safeguards, and data privacy controls directly into AI models from day one.
  • Run discovery workshops with customer leadership to define objectives, constraints, and success metrics, delivering MVPs in weeks.
  • Serve as the primary technical point of contact for enterprise accounts, educating stakeholders on AI capabilities and limitations to drive adoption.

Qualifications

  • 4+ years designing and deploying AI/ML solutions, ideally in a customer-facing or consulting role
  • Hands-on experience building agents and agentic workflows with modern frameworks (LangChain, LlamaIndex, ADK)
  • Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face)
  • Practical experience with LLM applications, RAG pipelines, vector embeddings, and prompt engineering
  • Working knowledge of Google Cloud Platform, particularly Vertex AI (Agent Builder, Model Garden), BigQuery, and Cloud Run
  • Strong presentation skills across technical and executive audiences
  • Experience with data preparation and feature engineering for production AI systems
  • A track record of translating AI capabilities into business strategy and building relationships with customer leadership

Preferred

  • Google Cloud Professional Machine Learning Engineer or Data Engineer certification (or willingness to earn one within 6 months)
  • Experience supporting sales calls or writing statements of work
  • MLOps experience: Docker, Kubernetes, CI/CD pipelines
  • Background in consulting or professional services with distributed/remote teams
  • Vertex AI Agent Builder, ADK, Gemini APIs, LangChain, LlamaIndex, MCP, A2A
  • ML tooling: Python, TensorFlow, PyTorch, Hugging Face Transformers, RAG pipelines, vector databases
  • BigQuery, Dataflow, Cloud Run, GKE, Pub/Sub, Cloud Functions
  • DevOps: Docker, Kubernetes, GitHub Actions, and Vertex AI Pipelines.

Compensation & Benefits

  • Health, dental, and vision insurance
  • Paid time off
  • Ongoing training and certification support

Our Commitment to Inclusion

Premier Cloud is an equal-opportunity employer. We value diverse backgrounds and perspectives, and we encourage you to apply even if you don't meet every qualification listed


What they ask for

Required

  • 4+ years designing and deploying AI/ML solutions, ideally in a customer-facing or consulting role
  • Hands-on experience building agents and agentic workflows with modern frameworks (LangChain, LlamaIndex, ADK)
  • Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face)
  • Practical experience with LLM applications, RAG pipelines, vector embeddings, and prompt engineering
  • Working knowledge of Google Cloud Platform, particularly Vertex AI (Agent Builder, Model Garden), BigQuery, and Cloud Run
  • Strong presentation skills across technical and executive audiences
  • Experience with data preparation and feature engineering for production AI systems
  • A track record of translating AI capabilities into business strategy and building relationships with customer leadership

Preferred

  • Google Cloud Professional Machine Learning Engineer or Data Engineer certification (or willingness to earn one within 6 months)
  • Experience supporting sales calls or writing statements of work
  • MLOps experience: Docker, Kubernetes, CI/CD pipelines
  • Background in consulting or professional services with distributed/remote teams

Skills

See also

Solutions Engineering jobs by country — openings, pay and top skills →

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