Technical Architect - AI, ML & Generative AI

Job Description
TITLE:
Technical Architect - AI, ML & Generative AI

POSITION TYPE:
Full Time

LOCATION:
Frisco, TX (Onsite)

ABOUT World Link:

World Link 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  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"  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, World Link may be the place for you.

For more information about our craft, visit (Use the "Apply for this Job" box below). .

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 demystify complex AI concepts for a non-technical audience will be essential and must have 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 (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.

Hands-on Development & Leadership:

• 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.

Mentorship & Team Development:

• 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.

Pre-Sales & Market Evangelism:

• 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.

Required Experience and

Education:

• 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 architectures, and fine-tuning.
• Strong proficiency in Python and its core ML ecosystem (e.g., Pandas, Num Py, Scikit-learn, Tensor Flow/PyTorch, matplotlib). Scala, GO experience is an added advantage.
• Experience in building AI solutions which follow, "secure by design" principles, including data encryption, privacy-preserving ML techniques, vulnerability scanning, and compliance readiness (SOC2, FedRAMP).
• Extensive experience with cloud AI platforms: AWS Sage Maker and/or GCP Vertex AI.
• Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow).
• Experience with data engineering and…