Gen AI Solutions Engineer #122

About Premier Cloud

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.

About The Role

Gen AI Solutions Engineer — Premier Cloud

Location: Hybrid remote, Austin, TX 78701 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
  
  

Required

What You Bring

• 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
  
  

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 Pipelines
  
  

Compensation & Benefits

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

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