Generative AI Architect

GenAI ArchitectIrving, TX, Jersey City, NJ & Tampa, FL (REMOTE is the last option)12+ Years profileFull Time Mandatory skills: Strong in Python, AI/GenAI Research, AI/Generative AIJob description:1. Engineering & Production-Grade Development (40%)Hands-on Coding: Lead the development of production-ready systems with expert-level proficiency in Python or PySpark.Solution Engineering: Apply advanced data structures, algorithms, and software design patterns to solve real-world financial services challenges.Scalability & Performance: Architect high-scale solutions with a big-picture approach, ensuring system latency and infrastructure costs are optimized to drive tangible business value.Lifecycle Management: Own the transition from MVP to live solutions, managing change control and enterprise-level AI integration.2. Advanced AI Implementation & R&D (40%)Generative AI & RAG: Design and deploy sophisticated RAG pipelines. Orchestrate LLM-as-a-Service (e.g., GPT-4, Gemini, Vertex AI) alongside local SLMs (e.g., Llama 3, Mixtral).Agentic Workflows: Build autonomous agents using frameworks such as Lang Graph (preferred), Crew AI, or AutoGen to automate complex, multi-step business logic.MLOps & Governance: Take full ownership of the model lifecycle, including fine-tuning LLMs/SLMs, monitoring model drift, ground truth validation, and ensuring compliance with Model Risk Management (MRM) standards.UAT Validation: Drive User Acceptance Testing (UAT) focused on specific business outcomes and accuracy benchmarks.3. Leadership & Solution Orchestration (20%)Stakeholder Management: Navigate complex client ecosystems, acting as the primary technical liaison for both C-suite stakeholders and engineering teams.Strategic Communication: Translate high-level business requirements into sustainable, high-value generative AI solutions.CoE Liaison: Partner with the BFS AI CoE to bring cutting-edge R&D and incubated solutions, actively participating in multiple client AI solution demos and delivery assurance to global clients.Team Mentorship: Lead and inspire a high-performing technical team, fostering a positive, solution-oriented mind and an initiative-taking culture.