Technical Architect - AI, ML & Generative AI

Job Description

TITLE : Technical Architect – AI, ML & Generative AI

POSITION TYPE : Full Time

LOCATION : Frisco, TX (Onsite)

ABOUT WorldLink :

WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.

Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.

We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.

For more information about our craft, visit .

WHO we’re looking for :

We are looking for a highly skilled Technical Architect with deep expertise in Artificial Intelligence, Machine Learning, and Generative AI. This is a hands-on leadership role where you will research, design, and prototype state-of-the-art models, and guide the development of our flagship AI assets. You will be responsible for the end-to-end ML lifecycle, from strategy to production deployment (MLOps), and will be a key player in our go-to-market activities. Your ability to mentor young talent and demystify complex AI concepts for a non-technical audience will be essential and must skill.

Role and Responsibilities :

AI / ML Strategy & Solution Architecture :

• Research, design, and prototype state-of-the-art AI / ML and Generative AI models (e.g., LLMs, Transformers, Diffusion Models) to address complex business challenges.
• Architect end-to-end ML pipelines, encompassing data ingestion, preprocessing, model training, evaluation, deployment, and monitoring (MLOps).
• Design cloud-native, scalable, and cost-optimized AI solutions for deployment on AWS (SageMaker, Bedrock) and GCP (Vertex AI, Gemini).
• Make strategic build-vs-buy decisions and select the right frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).
• Use experience with Multi Model RAG based solution development & Agentic AI based solution approaches.

Hands-on Development & Leadership :

Mentorship & Team Development :

Pre-Sales & Market Evangelism :

Required Experience and Education :