Senior AI Cloud Architect

About Us: At Fabric we provide the entertainment industry with the worlds best data and operations solutions, helping them to connect people with the content that they love. Since Fabric’s inception we have been intensely focused on bringing clarity and unity to the media supply chain, and providing the crucial source-of-truth that is the bedrock for any data-driven enterprise. Today Fabric is a market leader in scheduling, metadata management and content data, with a wealth of integrations, partnerships and experience with organizations across the entirety of the media and entertainment ecosystem. The Opportunity Are you passionate about designing and building the future of AI-driven applications? We are seeking a highly skilled and hands-on Senior AI Cloud Architect to lead our Generative AI initiatives. This is a critical role where you will have the autonomy to architect, build, and scale our next generation of AI solutions on AWS. You will be the go-to expert for our engineering teams, establishing best practices and guiding the implementation of sophisticated, agentic AI workflows across our core product suite, including our Xytech, Studio +, and Origin platforms. If you are a builder who loves to solve complex problems and wants to make a tangible impact, this is the role for you. Responsibilities • Design and implement scalable and secure architectures on AWS (Lambda, EC2, S3, IAM, among others). • Lead the technical design and integration of Generative AI capabilities into Fabric’s products. • Develop proofs of concept and production-ready solutions using AWS AI/ML tools (SageMaker, Bedrock, etc.). • Define architecture standards and best practices in collaboration with technical and product teams. • Mentor other engineers and contribute to the team’s overall technical growth. • Evaluate new technologies in the AI/ML and GenAI space to drive continuous innovation. Required Qualifications & Skills • Proven hands-on experience with Generative AI technologies (e.g., LLMs, RAG, agentic systems, LangChain, or similar frameworks). • 4+ years of experience in software engineering or cloud architecture. • At least 2 years of practical experience designing and implementing AWS-based solutions. • Strong proficiency in Python. • Experience with AWS AI/ML services (SageMaker, Bedrock, or similar). • Deep understanding of architecture principles, scalability, and automation. • Excellent communication skills in English (both verbal and written). • Proactive, curious, and collaborative mindset. Preferred Qualifications • Experience with MLOps or data engineering tools (Glue, Kinesis). • AWS Certifications (Solutions Architect – Professional or Machine Learning Specialty). • Experience leading distributed or international teams. Employment and work modality: Full-time, permanent position, Monday to Friday from 8 a.m. to 5 p.m. (flex time)