AI Software Architect (AI, Python, DevOps)
DISCOVERED · Dubai, United Arab Emirates ·
- Category
- Devops
- Experience
- 5+ years
DISCOVERED · Dubai, United Arab Emirates ·
Zhone Technologies · Hanoi
Ubiminds · Remote
Park Place Technologies · Highland Heights, Ohio, United States
EXL · London, England, United Kingdom
The AI Software Architect will lead the design and development of secure, scalable AI-driven SaaS applications. The role involves a 50/50 split between architectural strategy and hands-on coding using Python, LLMs, RAG, and cloud-native infrastructure on AWS.
We are seeking a AI Software Architect to join a unique tech venture. The company focuses on cutting edge applications centered around security, data privacy, and AI.
As a Senior AI Software Architect, you will balance technical strategy with active development in a roughly equal split. You will take end to end architectural ownership of user centric applications, AI solutions, and cloud infrastructure supporting a modular platform.
You will lead the integration of LLMs, RAG pipelines, and agentic AI systems into reliable, scalable production applications while ensuring cloud native services remain secure, compliant, and observable. This is an individual contributor position designed for a skilled builder who thrives in a fast moving environment.
Take complete ownership of software, AI, and platform architecture from initial design through production deployment.
Spend half your time writing hands on code, specifically building and integrating AI solutions using Python, LLMs, RAG, and agentic AI.
Design, deploy, and manage multi tenant microservices infrastructure across AWS cloud environments and Amazon EKS/Kubernetes clusters.
Build and integrate production grade LLM applications, including RAG pipelines, AI agents, and model integrations.
Embed zero trust networking, privacy by design, and strict security controls across platforms.
Build and optimize continuous deployment pipelines, automated testing, infrastructure as code, and full stack observability layers.
Work extensively with DevOps and MLOps tooling, including Terraform, Kubernetes, EKS, CI/CD, and cloud native deployment practices.
Work on production grade software and AI products built directly for external commercial users.
Identify and resolve system performance bottlenecks, technical debt, and scalability limitations.
Minimum 5 to 7 years of relevant experience in software architecture and hands on engineering.
Strong hands on development skills in Python, with proven experience building and integrating AI solutions.
Proven commercial experience working with LLMs, RAG, AI agents, or agentic AI architectures.
Proven experience building commercial SaaS products sold directly to customers.
Deep technical knowledge of AWS and Kubernetes, with hands on experience using Amazon EKS.
Solid grasp of DevOps and MLOps practices, Terraform/infrastructure as code, CI/CD, and cloud native tooling.
Strong understanding of zero trust security, data encryption, and data residency standards.
Experience designing scalable microservices and production grade AI applications.
Experience in fast paced startup or scaleup environments is strongly preferred.
Strong understanding of how to take AI/ML solutions from development through to reliable production deployment.
Location:Dubai Media City (Onsite)
WorkSpan · Bangalore, India