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