Role: AI System Analyst (AI Monte Carlo)
Client address: Houston, TX (Hybrid)
Contract
Experience Required: 10-12 years
Mandatory Skills

• AI Monte Carlo
• Python
  

Key Responsibilities

• Solution 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 Qualifications

• Core 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

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