Technical Architect – AI, ML & Generative AI

Technical Architect – AI, ML & Generative AI

Frisco, United States | Posted on 09/25/2025

World Link is arapidly growing information technology company at the forefront of thetech 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 fewwords that describe what life is like  embrace a culture of experimentation and constantly strive for improvement and learning.

We take pride inour employees and their future with continued growth and career advancement. Weput 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"  you are passionate about what you do andhaving fun while doing it;

tired of rigid and strict work environments andwould like to work in a non-bureaucratic startup cultural environment,World Link may be the place for you.

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.

• 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 (Sage Maker, Bedrock) and GCP (Vertex AI, Gemini).
• Make strategic build-vs-buy decisions and select the right frameworks (e.g., Tensor Flow, PyTorch, Hugging Face, Lang Chain).
• Use experience with Multi Model RAG based solution development & Agentic AI based solution approaches.
• Lead by example: write production-quality code, build and tune models, and troubleshoot complex issues within the data and ML stack.
• Own the entire ML lifecycle, ensuring best practices in reproducibility, versioning (e.g., MLflow, DVC), and model governance.
• Collaborate closely with the Cloud/Dev Ops Architect to integrate AI workloads seamlessly into CI/CD pipelines and cloud infrastructure.
• Serve as the primary technical mentor for interns and junior data scientists, providing guidance on projects, code reviews, and research methodologies.
• Foster a culture of continuous learning by conducting workshops on advanced AI topics, ethical AI, and new technologies.
• Translate complex AI concepts into actionable tasks for the team.
• Act as the key AI expert during pre-sales, demonstrating the technical superiority and value of our AI solutions to potential customers and partners.
• Architect and deliver compelling proof-of-concepts (POCs) and demos that showcase practical applications.
• Create high-quality technical content (whitepapers, architecture diagrams, blog posts) to articulate the innovation behind our marketplace offerings.
• Present solutions confidently to both technical and non-technical audiences, supporting the sales cycle.

• 5-10 years of hands-on experience in data science, machine learning, and AI, with at least 3 years in an architect or tech lead role.
• Bachelor's Degree preferred.
• A proven track record of building, training, tuning, and deploying machine learning models into production environments.
• Deep, practical experience with Generative AI, including working with Large Language Models (LLMs), prompt engineering, RAG…