Senior AI Cloud Architect

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)