{"schemaVersion":"jobsearcher.job.v1","id":"4ccd7a6ea9a696de5158a2ae","url":"https://jobsearcher.com/jobs/4ccd7a6ea9a696de5158a2ae","canonicalUrl":"https://jobsearcher.com/jobs/4ccd7a6ea9a696de5158a2ae","title":"Gen AI Solutions Engineer - Google Cloud","description":"About Premier Cloud\nPremier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize and scale through the power of cloud technology. Founded in 2001, we deliver cloud consulting and managed services to SMB and enterprise clients across North America. As one of Canada's fastest-growing companies and a Great Place to Work-Certified™ organization, we're driven by innovation, technical excellence, and delivering measurable impact for our clients.\nWhat You'll Do\nTransform Business Challenges into AI Solutions\nServe as the primary technical advisor to enterprise customers, translating executive whiteboarding sessions into clear solution architectures and working MVPs. You'll engage daily with roles from engineers to C-level stakeholders, turning business requirements into production-ready AI solutions.\nBuild Intelligent Agents and AI Workflows\nDesign and deploy agents using Agent Development Kit (ADK), Model Context Protocol (MCP), and Agent-to-Agent (A2A) protocols.\nBuild production systems with Vertex AI Agent Builder, LangChain, and LlamaIndex that solve real business problems.\nArchitect end-to-end agentic workflows from concept to customer deployment.\nPrepare Data and Enable AI Systems\nChampion data-first approaches by designing vector databases, RAG pipelines, and chunking strategies that make AI agents effective. Prepare and curate data to ensure agents are ready for consumption by both internal teams and external customers.\nLead Discovery and Scoping\nConduct strategic discovery workshops with customer leadership to define objectives, constraints, and success metrics.\nScope and MVP solutions rapidly—you'll move from whiteboard to proof-of-concept in weeks, not months.\nPresent technical roadmaps that translate AI capabilities into business value.\nEnable and Educate\nBuild trusted relationships by educating stakeholders on AI capabilities, limitations, and best practices.\nConduct workshops, deliver demos, and transfer knowledge to ensure successful adoption. You'll be the voice that builds confidence in AI transformation.\nWhat You Bring\nRequired Qualifications:\nExperience & Track Record\n4+ years designing and deploying AI/ML solutions, preferably in customer-facing or consulting roles.\nHands-on experience building agents and agentic workflows using modern frameworks (LangChain, LlamaIndex, ADK).\nStrong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).\nPractical knowledge of LLM applications, RAG pipelines, vector embeddings, and prompt engineering.\nWorking knowledge of Google Cloud Platform: Vertex AI (Agent Builder, Model Garden), BigQuery, Cloud Run.\nOutstanding presentation skills to technical and executive audiences—equally comfortable on a whiteboard or with formal presentations.\nProven ability to translate complex AI concepts into actionable business strategies and forge relationships with customer leadership.\nExperience with data preparation, feature engineering, and making AI systems production-ready.\nCore Competencies\nWe are seeking candidates who will demonstrate a strong aptitude for rapidly acquiring new technical knowledge, valuing learning agility as highly as existing expertise. We seek proactive problem-solvers who are driven to find solutions.\nYou should be able to scope solutions, pivot quickly based on customer feedback, and architect solutions in real-time.\nPreferred Qualifications\nGoogle Cloud Professional Machine Learning Engineer or Data Engineer certification (or commitment to achieve within 6 months).\nExperience participating in sales calls and creating statements of work.\nFamiliarity with Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.\nExperience with MLOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines.\nBackground in consulting or professional services with distributed, remote teams.\nTechnical Environment\nYou'll work with cutting-edge Google Cloud AI technologies, including:\nCore AI Stack: Vertex AI Agent Builder, Agent Development Kit (ADK), Gemini APIs, LangChain, LlamaIndex, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols\nML Frameworks: Python, TensorFlow, PyTorch, Hugging Face Transformers, RAG pipelines, vector databases\nGCP Services: BigQuery, Dataflow, Cloud Run, GKE, Pub/Sub, Cloud Functions\nDevelopment: Docker, Kubernetes, GitHub Actions, Vertex AI Pipelines\nExpectations\nCustomer-Facing: Daily interactions with customers, including discovery sessions, technical discussions, standups, and executive presentations.\nTravel: Up to 30% travel to customer sites, Google offices, and industry events.\nTeam Collaboration: Work closely with Cloud Architects, Google Cloud specialists, and internal teams on complex implementations.\nWhat We Offer\nCompetitive Compensation: A package that reflects your experience and impact.\nDirect Customer Impact: Work with enterprise customers on transformative AI initiatives alongside Premier Cloud and Google teams.\nGrowth & Development: Continuous training, certifications, and hands-on experience with bleeding-edge AI technologies.\nWork Environment: Remote work supported by premium technology and a strong culture of trust and autonomy.\nComprehensive Benefits: Health coverage, paid time off, and relocation assistance (if applicable).\nOur Commitment to Inclusion\nPremier Cloud is an equal-opportunity employer that values and celebrates diversity. We encourage applications from candidates who bring valuable experience and passion for cloud and AI technology, even if you don't meet every qualification listed.\nJob Type: Full-time\nBenefits:\nDental insurance\nHealth insurance\nPaid time off\nVision insurance\nExperience:\nAI/ML: 4 years (Preferred)\nAI Agents: 1 year (Preferred)\nWork Location: Hybrid remote in Austin, TX 78701","company":"Premier Cloud","rawCompany":"premier cloud","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:58:58.152Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Gen AI Solutions Engineer - Google Cloud","description":"About Premier Cloud\nPremier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize and scale through the power of cloud technology. Founded in 2001, we deliver cloud consulting and managed services to SMB and enterprise clients across North America. As one of Canada's fastest-growing companies and a Great Place to Work-Certified™ organization, we're driven by innovation, technical excellence, and delivering measurable impact for our clients.\nWhat You'll Do\nTransform Business Challenges into AI Solutions\nServe as the primary technical advisor to enterprise customers, translating executive whiteboarding sessions into clear solution architectures and working MVPs. You'll engage daily with roles from engineers to C-level stakeholders, turning business requirements into production-ready AI solutions.\nBuild Intelligent Agents and AI Workflows\nDesign and deploy agents using Agent Development Kit (ADK), Model Context Protocol (MCP), and Agent-to-Agent (A2A) protocols.\nBuild production systems with Vertex AI Agent Builder, LangChain, and LlamaIndex that solve real business problems.\nArchitect end-to-end agentic workflows from concept to customer deployment.\nPrepare Data and Enable AI Systems\nChampion data-first approaches by designing vector databases, RAG pipelines, and chunking strategies that make AI agents effective. Prepare and curate data to ensure agents are ready for consumption by both internal teams and external customers.\nLead Discovery and Scoping\nConduct strategic discovery workshops with customer leadership to define objectives, constraints, and success metrics.\nScope and MVP solutions rapidly—you'll move from whiteboard to proof-of-concept in weeks, not months.\nPresent technical roadmaps that translate AI capabilities into business value.\nEnable and Educate\nBuild trusted relationships by educating stakeholders on AI capabilities, limitations, and best practices.\nConduct workshops, deliver demos, and transfer knowledge to ensure successful adoption. You'll be the voice that builds confidence in AI transformation.\nWhat You Bring\nRequired Qualifications:\nExperience & Track Record\n4+ years designing and deploying AI/ML solutions, preferably in customer-facing or consulting roles.\nHands-on experience building agents and agentic workflows using modern frameworks (LangChain, LlamaIndex, ADK).\nStrong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).\nPractical knowledge of LLM applications, RAG pipelines, vector embeddings, and prompt engineering.\nWorking knowledge of Google Cloud Platform: Vertex AI (Agent Builder, Model Garden), BigQuery, Cloud Run.\nOutstanding presentation skills to technical and executive audiences—equally comfortable on a whiteboard or with formal presentations.\nProven ability to translate complex AI concepts into actionable business strategies and forge relationships with customer leadership.\nExperience with data preparation, feature engineering, and making AI systems production-ready.\nCore Competencies\nWe are seeking candidates who will demonstrate a strong aptitude for rapidly acquiring new technical knowledge, valuing learning agility as highly as existing expertise. We seek proactive problem-solvers who are driven to find solutions.\nYou should be able to scope solutions, pivot quickly based on customer feedback, and architect solutions in real-time.\nPreferred Qualifications\nGoogle Cloud Professional Machine Learning Engineer or Data Engineer certification (or commitment to achieve within 6 months).\nExperience participating in sales calls and creating statements of work.\nFamiliarity with Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.\nExperience with MLOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines.\nBackground in consulting or professional services with distributed, remote teams.\nTechnical Environment\nYou'll work with cutting-edge Google Cloud AI technologies, including:\nCore AI Stack: Vertex AI Agent Builder, Agent Development Kit (ADK), Gemini APIs, LangChain, LlamaIndex, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols\nML Frameworks: Python, TensorFlow, PyTorch, Hugging Face Transformers, RAG pipelines, vector databases\nGCP Services: BigQuery, Dataflow, Cloud Run, GKE, Pub/Sub, Cloud Functions\nDevelopment: Docker, Kubernetes, GitHub Actions, Vertex AI Pipelines\nExpectations\nCustomer-Facing: Daily interactions with customers, including discovery sessions, technical discussions, standups, and executive presentations.\nTravel: Up to 30% travel to customer sites, Google offices, and industry events.\nTeam Collaboration: Work closely with Cloud Architects, Google Cloud specialists, and internal teams on complex implementations.\nWhat We Offer\nCompetitive Compensation: A package that reflects your experience and impact.\nDirect Customer Impact: Work with enterprise customers on transformative AI initiatives alongside Premier Cloud and Google teams.\nGrowth & Development: Continuous training, certifications, and hands-on experience with bleeding-edge AI technologies.\nWork Environment: Remote work supported by premium technology and a strong culture of trust and autonomy.\nComprehensive Benefits: Health coverage, paid time off, and relocation assistance (if applicable).\nOur Commitment to Inclusion\nPremier Cloud is an equal-opportunity employer that values and celebrates diversity. We encourage applications from candidates who bring valuable experience and passion for cloud and AI technology, even if you don't meet every qualification listed.\nJob Type: Full-time\nBenefits:\nDental insurance\nHealth insurance\nPaid time off\nVision insurance\nExperience:\nAI/ML: 4 years (Preferred)\nAI Agents: 1 year (Preferred)\nWork Location: Hybrid remote in Austin, TX 78701","datePosted":"2026-04-14T10:58:58.152Z","dateModified":"2026-04-14T10:58:58.152Z","hiringOrganization":{"@type":"Organization","name":"Premier Cloud","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4ccd7a6ea9a696de5158a2ae"},"url":"https://jobsearcher.com/jobs/4ccd7a6ea9a696de5158a2ae"}}