Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About 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.

Responsibilities

• 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

Requirements

• 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
• 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

• Gen AI
• Agentic workflows
• Google Cloud Vertex AI
• Agent Development Kit (ADK)
• Model Context Protocol (MCP)
• Agent-to-Agent (A2A) protocols
• Vertex AI Agent Builder
• LangChain
• LlamaIndex
• Python
• TensorFlow
• PyTorch
• scikit-learn
• Hugging Face
• LLM applications
• RAG pipelines
• Vector embeddings
• Prompt engineering
• Google Cloud Platform
• BigQuery
• Cloud Run
• Data preparation
• Feature engineering
• Docker
• Kubernetes
• CI/CD pipelines

Location

• Hybrid remote, Austin, TX 78701

Work Type

• Full-time
• Hybrid remote

Experience Level

• 4+ years designing and deploying AI/ML solutions

Education Level

• Google Cloud Professional Machine Learning Engineer or Data Engineer certification (or willingness to earn one within 6 months)

Benefits

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

About the Company

• 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

Equal Opportunity

• 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