AI System Analyst (AI Monte Carlo)

Role: AI System Analyst (AI Monte Carlo)Client address: Houston, TX (Hybrid)ContractExperience Required: 10-12 yearsMandatory SkillsAI Monte CarloPython Key ResponsibilitiesSolution Architecture: Design and implement advanced Monte Carlo simulation frameworks to solve complex probabilistic problems (e.g., risk assessment, optimization, or predictive forecasting).Client Engagement: Lead discovery sessions with clients to extract and define technical requirements from high-level business goals.Cross-Functional Collaboration: Serve as the primary technical liaison between functional business units and core engineering teams to ensure alignment on deliverables.End-to-End Delivery: Own the full lifecycle of AI development—from algorithmic design and data modeling to deployment and performance tuning.Mentorship & Leadership: Provide technical guidance to junior/mid-level developers while maintaining the self-sufficiency to handle critical individual contributor tasks in agile environments.Technical QualificationsCore AI & Math: Expert knowledge of Monte Carlo methods (MCMC, Sequential Monte Carlo, Quasi-Monte Carlo) and their application in AI/ML environments.Programming: Mastery of Python or C++ (high-performance computing experience is a major plus).Infrastructure: Solid understanding of cloud-based AI deployment (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).Strategic Thinking: 10+ years of experience navigating the trade