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 JJT & Associates client work. Specific client requirements, schedules, security requirements, clearances, and other project details may vary by engagement.
JJT & Associates is committed to a professional and inclusive workplace. Employment decisions are based on qualifications, merit, business need, and the requirements of the applicable engagement.