Gen AI Solutions Engineer #124

Premier Cloud; Victoria; On-site; CAD 125,000 - 200,000; Full time

Benefits offered by this job

Performance bonuses

Comprehensive benefits

Travel opportunities

Job summary

Premier Cloud, a Google Cloud Premier Partner, is hiring a Gen AI Solutions Engineer to design and deliver enterprise-scale Generative AI solutions on Google Cloud. You will lead architecture, run technical discovery with customer teams, and translate business goals into production-grade MVPs while collaborating with client executives.

Based in Victoria, BC, this full‑time role requires up to 30% travel to customer sites and Google offices.

Qualifications

• 4+ years deploying AI/ML solutions in a customer-facing or consulting role.
• Hands-on experience building agents and agentic workflows with LangChain, LlamaIndex, ADK.
• Strong Python skills and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).
• Experience with LLM apps, RAG pipelines, vector embeddings, prompt engineering.
• GCP Vertex AI familiarity (Agent Builder, BigQuery, Cloud Run).
• Excellent presentation skills for technical and executive audiences.
• Ability to translate AI capabilities into business strategy and drive adoption.

Responsibilities

• Lead architecture, design, and delivery of enterprise-scale Generative AI solutions on Google Cloud.
• Run technical discovery with customer teams and design agentic workflows on Vertex AI.
• Advise engineers and executives, moving concepts to production MVPs.
• Design and deploy agents using ADK, MCP, and A2A protocols.
• Build production systems with Vertex AI Agent Builder, LangChain, and LlamaIndex.
• Architect end-to-end agentic workflows from concept to deployment.
• Build scalable RAG pipelines and integrate with vector databases.
• Lead client workshops to map high-impact use cases and ROI.
• Embed access controls and data privacy into AI models from day one.
• Run discovery workshops with leadership to define objectives and success metrics.
• Serve as primary technical contact for enterprise accounts, educating on AI capabilities.

Skills

AI/ML solution design

Agent development

Python

LLM / RAG / embeddings

Vertex AI / GCP

Presentation skills

Data prep / feature engineering

Business impact / adoption

Tools

LangChain

LlamaIndex

ADK

TensorFlow

PyTorch

scikit-learn

Hugging Face

Vertex AI

BigQuery

Job description

About this position

Premier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize, collaborate, and scale through the power of cloud technology. Founded in 2001, we deliver cloud consulting, managed services, and tailored solutions to SMB and enterprise clients across North America.

As one of Canada’s fastest-growing companies, we help businesses unlock the full potential of Google Cloud, along with leading SaaS platforms like JumpCloud, Lumin, and Virtru. Our team is driven by innovation, technical excellence, and a shared commitment to delivering measurable impact for our clients.

At Premier Cloud, we take pride in maintaining a collaborative, light-hearted culture that values creativity, growth, and inclusion. Year after year, we’re recognized as a Great Place to Work-Certified™ organization and featured among the Best Workplaces in Technology.

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.

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
• Background in consulting or professional services with distributed/remote teams
• BigQuery, Dataflow, Cloud Run, GKE, Pub/Sub, Cloud Functions
• DevOps: Docker, Kubernetes, GitHub Actions, and Vertex AI Pipelines.
• 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