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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solution Architect - Data & AI Platforms (Google Cloud Platform) - **Company:** Comprehensive Resources Inc. - **Location:** Santa Ana, CA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Computing Platforms, BigQuery, Cloud Computing, Cloud Storage, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Flow Control, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Machine Learning, Meta-Data Management, Power BI, Tensorflow, Cloudera, Azure Machine Learning, SQL Databases, Data Streaming, Tableau (Software), Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Apache Spark, Generative AI, Data Layers, Scikit Learn, Kubernetes, Information Technology, Data Analytics, Apache Kafka, Data Management, Machine Learning Operations, Data Lakehouse, Virtual Agents, Looker Analytics, GPT - **Published:** July 30, 2026 - **Apply:** https://www.dice.com/job-detail/c9d0fd0c-878d-4ea4-8aec-00864b06d13d ## About the Role 10-15+ years overall experience (with 5+ years in AI/Data Architecture roles), Core Technical Skills Strong experience in Data Architecture & Data Platforms Hands-on expertise in Data Lakehouse architectures Deep understanding of end-to-end data management Experience with modern BI platforms and analytics ecosystems Strong background in AI/ML architecture and MLOps Proven experience in Conversational Analytics and Generative AI Hands-on exposure to Agentic AI platforms, frameworks, and evaluations Strong expertise in Google Cloud Platform (Google Cloud Platform) Tools & Technologies (preferred) Google Cloud Platform: BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker AI/ML: TensorFlow, PyTorch, scikit-learn, LLM frameworks MLOps: CI/CD, feature stores, model registries, monitoring tools Data: SQL, Python, Spark, Kafka BI: Looker, Tableau, Power BI (or equivalent) Preferred Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related field Google Cloud Platform Professional certifications (e.g., Professional Data Engineer, Professional ML Engineer, Cloud Architect) Experience working in large-scale enterprise or consulting environments Strong communication and stakeholder management skills ## Description We are seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions, to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong hands-on experience across data lakehouse architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation. Key Responsibilities Data & Platform Architecture Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers Architect modern data lakehouse platforms using Google Cloud Platform services (e.g., BigQuery, Dataproc, Cloud Storage) Define scalable data platforms supporting batch, streaming, and real-time analytics Establish data governance, metadata management, data quality, lineage, and security frameworks AI, ML & MLOps Architecture Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management Define and implement MLOps frameworks (CI/CD for ML, feature stores, model registries, observability) Collaborate with data scientists to productionize ML models at scale Evaluate and recommend ML frameworks, tools, and best practices Generative AI & Agentic AI Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases) Design Conversational Analytics and AI-powered BI solutions Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems Business Intelligence & Analytics Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights Integrate BI tools with data lakehouse and AI layers Enable semantic layers, metrics definitions, and governed analytics Cloud & Google Cloud Platform Leadership Lead architecture and solution design on Google Cloud Platform (Google Cloud Platform) Utilize Google Cloud Platform services such as BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM Ensure architectures follow best practices for security, scalability, performance, and cost optimization Stakeholder & Technical Leadership Partner with business leaders to translate business requirements into AI-driven solutions Lead technical design reviews and architecture governance Mentor engineers, architects, and data scientists Create architecture blueprints, reference architectures, and technical documentation ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)