Urgent C2C Requirement : AI Lead : Houston , TX On-site

AI Lead Location: Houston, TX (On-site) Looking locals only Duration: 6+ Months Phone and Video Call Key Responsibilities Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems. Design & Development – Full SDLC in Python, .Net and Strong in Gen AI area. Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery. Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools. Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms. Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs. Select and implement machine learning algorithms, NLP models, and other Gen AI technologies. Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations. Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams. Provide technical mentorship to developers and engineers working on AI initiatives. Maintain clear documentation and architecture diagrams for deployed AI solutions. Qualifications Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions. Proficiency in AI platforms and tools such as Azure OpenAI, Hugging Face, and LangChain ecosystem (LangGraph, LangSmith, LangFuse). Strong programming skills in Python, C#, and Node.js, with experience in API development and system integration. Expertise in NLP, machine learning, deep learning, or computer vision. Experience with Azure and AWS cloud platforms and their AI/ML services. Familiarity with enterprise application development and full-stack technologies. Hands-on experience with chatbot development, automation frameworks, and AI-based decision systems. Knowledge of AI ethics, data governance, and security best practices. Excellent problem-solving and communication skills. Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Preferred Qualifications Certifications in AI/ML from Azure or AWS. Experience with low-code/no-code AI integration tools. Understanding of DevOps practices for AI/ML model deployment. Experience in customer-facing roles, with the ability to translate business needs into technical solutions. #J-18808-Ljbffr Tech Mirrors