Senior AWS Cloud Architect
hace 4 días
About Fabric
At
Fabric
, we are redefining the future of media intelligence through AI-powered and cloud-based data solutions. Our technology helps global media and entertainment companies make smarter, faster decisions.
As part of our expansion into
Generative AI
, we're looking for a
Senior AWS Cloud Architect
who is passionate about designing innovative, scalable, and production-ready architectures within the AWS ecosystem.
The Opportunity
This is both a strategic and hands-on role, where you'll have the opportunity to design and implement next-generation
Generative AI
and automation-based solutions across Fabric's core products (
Xytech, S+, and Origin
). You'll collaborate closely with engineering and product teams to integrate AI capabilities and lead technological innovation across the organization.
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.
Requirements (Mandatory)
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 (flexible based on seniority and depth of GenAI experience).
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.
Nice to Have
Experience with
MLOps
or data engineering tools (Glue, Kinesis).
AWS Certifications
(Solutions Architect – Professional or Machine Learning Specialty).
Experience leading distributed or international teams.
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