About the role

Gen AI Solutions Engineer — Premier Cloud

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

The Role

As a Gen AI Solutions Engineer, you'll turn enterprise AI ambitions into working software. You'll run technical discovery with customer teams, design agentic workflows on Google Cloud Vertex AI, and act as a trusted advisor to both engineers and executives — moving fast from whiteboard concept to a live, production-grade MVP.

What You'll Do

Design and build agentic systems

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

Prepare data for AI systems

Design vector databases, RAG pipelines, and chunking strategies that make agents effective in production

Curate and structure data so agents are ready for both internal and customer-facing use

Lead discovery and scoping

Run discovery workshops with customer leadership to define objectives, constraints, and success metrics

Scope and deliver MVPs in weeks, not months

Present technical roadmaps that connect AI capabilities to business outcomes

Advise and enable customers

Serve as the primary technical point of contact for enterprise accounts, from engineers to C-level stakeholders

Run workshops and demos, and transfer knowledge so customers can sustain and extend what you've built

Educate stakeholders honestly on AI capabilities and limitations,



building the trust that drives adoption

What You Bring

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

Solid 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





We especially encourage you to apply if: You're strong on learning agility and problem-solving even if your background doesn't check every box above. We'd rather hire for trajectory and curiosity than a perfect keyword match.

Technical Environment

Core AI stack: Vertex AI Agent Builder, ADK, Gemini APIs, LangChain, LlamaIndex, MCP, A2A

ML tooling: Python, TensorFlow, PyTorch, Hugging Face Transformers, RAG pipelines, vector databases

GCP services: BigQuery, Dataflow, Cloud Run, GKE, Pub/Sub, Cloud Functions

DevOps: Docker, Kubernetes, GitHub Actions, Vertex AI Pipeline Team & Reporting

You'll work closely with Cloud Architects and Google Cloud specialists on complex customer implementations. (Add: who this role reports to, and team size, if you want to strengthen candidate confidence.)

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

Benefits

Competitive Compensation: A package reflecting your technical expertise and sales-enabling impact.

Growth & Development: Dedicated budget and time for continuous Google Cloud certifications and training.

Collaboration with Google: High visibility and direct partnership with Google sales and engineering teams.

Comprehensive Benefits: Full health coverage, paid time off, and relocation assistance (where applicable).

Work Environment: Flexible remote work with top-tier equipment and an autonomous, trust-driven team culture.

📌 Gen AI Solutions Engineer #124 (Victoria)
🏢 Premier Cloud
📍 Victoria