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

• 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.

• 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 Lang Chain ecosystem (Lang Graph, Lang Smith, Lang Fuse).
• 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.

• Certifications in AI/ML from Azure or AWS.
• Experience with low-code/no-code AI integration tools.
• Understanding of Dev Ops practices for AI/ML model deployment.
• Experience in customer-facing roles, with the ability to translate business needs into technical solutions.