Position Overview
Leads AI strategy, use-case prioritization, target architecture, platform selection, solution design, risk management, and responsible-AI integration.
Key Responsibilities
- Conduct AI readiness assessments covering use cases, data availability, platform maturity, security, workforce capability, governance, ethics, and expected value.
- Facilitate workshops to identify, prioritize, and validate AI/ML and generative-AI use cases.
- Develop AI business cases, ROI projections, implementation roadmaps, architecture options, and pilot recommendations.
- Design AI/ML solution architectures using Azure OpenAI, AWS Bedrock, Vertex AI, Azure Machine Learning, SageMaker, or comparable platforms.
- Define RAG patterns, model access patterns, vector database architecture, content controls, data-security controls, evaluation criteria, monitoring, and human-review workflows.
- Ensure designs incorporate privacy, data classification, model governance, explainability, bias mitigation, and auditability.
Minimum Qualifications
8+ years in software, data, analytics, cloud, or solution architecture; 3+ years in AI/ML, advanced analytics, data science, or AI platform implementation. Experience with LLMs, RAG, vector databases, ML lifecycle controls, and AI governance preferred.
About This Opportunity
This is a full-time remote position supporting current and upcoming LaTronic Solutions client work. Specific client requirements, schedules, security requirements, clearances, and other project details may vary by engagement.
LaTronic Solutions is committed to a professional and inclusive workplace. Employment decisions are based on qualifications, merit, business need, and the requirements of the applicable engagement.
