AI Lead

Job Title: AI Lead

Location: Onsite Houston,TX

Interview Process: Video (2 Rounds)

Experience: 12+ Years

Core Skills:

• AI

• LangGraph

• LangChain

• Python

• Agentic AI

• Gen AI

• NLP Models

• Tech Lead experience (Onsite and offshore)

Key Responsibilities

• Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.

• Candidate should have good hands-on -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.