WorldLink US
Technical Architect – AI, ML & Generative AI
WorldLink US, Frisco, Texas, United States, 75034
Overview
TITLE: Technical Architect – AI, ML & Generative AI POSITION TYPE: Full Time LOCATION: Frisco, TX (Onsite) 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. We strive for a collaborative, respectful, and ambitious culture where learning and experimentation are encouraged. For more information about our craft, visit https://worldlink-us.com. 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 mentor talent and explain complex AI concepts to non-technical audiences. Responsibilities
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, including 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 and Agentic AI approaches. Write production-quality code, train and tune models, and troubleshoot complex issues within the data and ML stack. Own the entire ML lifecycle, ensuring reproducibility, versioning (e.g., MLflow, DVC), and model governance. Collaborate with Cloud/DevOps Architect to integrate AI workloads into CI/CD pipelines and cloud infrastructure. Mentor interns and junior data scientists; conduct workshops on advanced AI topics, ethical AI, and new technologies. Translate complex AI concepts into actionable tasks for the team; present solutions to technical and non-technical audiences. Lead pre-sales demonstrations and create compelling POCs and demos; produce technical content (whitepapers, diagrams, blog posts). Required Experience and Education
5-10 years in data science, machine learning, and AI, with at least 3 years in an architect or tech lead role. Bachelor's Degree preferred. Proven track record of building, training, tuning, and deploying ML models in production. Deep experience with Generative AI, including LLMs, prompt engineering, RAG architectures, and fine-tuning. Strong Python proficiency and core ML ecosystem (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, matplotlib). Scala or Go is a plus. Experience with secure-by-design principles, privacy-preserving ML, vulnerability scanning, and compliance readiness (SOC2, FedRAMP). Extensive experience with cloud AI platforms: AWS SageMaker and/or GCP Vertex AI. Solid understanding of MLOps tools (MLflow, Kubeflow). Experience with data engineering and processing large datasets (SQL, Spark). Proven ability to mentor and develop junior talent. Seniority level
Mid-Senior level Employment type
Full-time Job function
Project Management and Information Technology Industries: IT Services and IT Consulting
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TITLE: Technical Architect – AI, ML & Generative AI POSITION TYPE: Full Time LOCATION: Frisco, TX (Onsite) 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. We strive for a collaborative, respectful, and ambitious culture where learning and experimentation are encouraged. For more information about our craft, visit https://worldlink-us.com. 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 mentor talent and explain complex AI concepts to non-technical audiences. Responsibilities
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, including 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 and Agentic AI approaches. Write production-quality code, train and tune models, and troubleshoot complex issues within the data and ML stack. Own the entire ML lifecycle, ensuring reproducibility, versioning (e.g., MLflow, DVC), and model governance. Collaborate with Cloud/DevOps Architect to integrate AI workloads into CI/CD pipelines and cloud infrastructure. Mentor interns and junior data scientists; conduct workshops on advanced AI topics, ethical AI, and new technologies. Translate complex AI concepts into actionable tasks for the team; present solutions to technical and non-technical audiences. Lead pre-sales demonstrations and create compelling POCs and demos; produce technical content (whitepapers, diagrams, blog posts). Required Experience and Education
5-10 years in data science, machine learning, and AI, with at least 3 years in an architect or tech lead role. Bachelor's Degree preferred. Proven track record of building, training, tuning, and deploying ML models in production. Deep experience with Generative AI, including LLMs, prompt engineering, RAG architectures, and fine-tuning. Strong Python proficiency and core ML ecosystem (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, matplotlib). Scala or Go is a plus. Experience with secure-by-design principles, privacy-preserving ML, vulnerability scanning, and compliance readiness (SOC2, FedRAMP). Extensive experience with cloud AI platforms: AWS SageMaker and/or GCP Vertex AI. Solid understanding of MLOps tools (MLflow, Kubeflow). Experience with data engineering and processing large datasets (SQL, Spark). Proven ability to mentor and develop junior talent. Seniority level
Mid-Senior level Employment type
Full-time Job function
Project Management and Information Technology Industries: IT Services and IT Consulting
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