Remote Fulltime Role : AI Solution Architect
AI Solution Architect Location: Dayton, OH - Remote Position type: Fulltime Key Responsibilities • Own end‑to‑end AI solution architecture from concept through production for Trimble initiatives • Design and implement GenAI solutions using GCP and Gemini (model selection, prompt design, orchestration, governance) • Integrate AI capabilities into Oracle platforms (Fusion, ERP, integrations) and Salesforce ecosystems (Sales, Service, Data Cloud, APIs) • Define scalable architectures covering data ingestion, enrichment, model inference, security, and observability • Work directly with Trimble product, engineering, and business stakeholders to clarify requirements and outcomes • Drive AI solution delivery with minimal oversight, making architectural and design decisions independently • Collaborate with delivery teams using JIRA, Confluence, and Agile delivery practices • Ensure Responsible AI practices including explainability, data privacy, access control, and governance • Support POCs, pilots, and production rollouts, including performance optimization and cost management on GCP • Provide technical leadership and guidance to engineers and client teams as required. Required Skills & Experience Core Experience • 8+ years of overall technology experience with 3–5+ years in AI/ML or GenAI architecture • Proven experience designing AI solutions on Google Cloud Platform (GCP) • Hands‑on experience with Gemini models and GenAI workflows (RAG, agents, embeddings, prompt engineering) • Strong integration experience with Oracle (Fusion, ERP, databases, integrations) and Salesforce (Sales/Service Cloud, APIs, Data Cloud) • Ability to work independently, make architectural decisions, and manage ambiguity Technical Skills • GCP services such as Vertex AI, BigQuery, Cloud Functions, APIs, IAM, logging and monitoring • GenAI patterns: RAG architectures, vector stores, grounding, agent orchestration • API‑driven integration patterns between AI services and enterprise platforms • Data pipelines and transformation for structured and unstructured data • Security, compliance, and governance in enterprise AI environments Delivery & Collaboration • Strong working knowledge of JIRA, Confluence, and Agile/Scrum methodologies • Ability to document architecture, decisions, and patterns clearly • Strong communication skills across business and technical audiences • Nice to Have • Experience in engineering, construction, geospatial, or industrial technology domains (Trimble-aligned) • Prior experience building agentic workflows or autonomous AI agents • Experience with Salesforce Einstein, MuleSoft, or Oracle OCI is a plus