Senior AI Architect

Kake; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Kake is seeking a Senior AI Architect in Austin, Texas, to lead the design and development of production-grade AI applications. This role combines AI architecture, software engineering, and cloud technologies to create intelligent systems.

The ideal candidate will have extensive experience in designing scalable AI solutions, retrieval systems, and agent workflows. Strong proficiency in Python and knowledge of cloud platforms like AWS is essential.

Qualifications

• Proven experience designing, building, and deploying AI‑powered applications in production environments.
• Strong experience with Retrieval-Augmented Generation architectures and retrieval‑based systems.
• Strong software architecture and distributed systems design experience.
• Excellent written and verbal communication skills in English.

Responsibilities

• Design and architect production‑grade AI applications and platforms.
• Build and evolve scalable retrieval and knowledge systems.
• Collaborate with engineering teams to deliver high‑quality solutions.

Skills

AI architecture

Software engineering

Cloud technologies

Python

Information retrieval

Retrieval-Augmented Generation

Docker

Kubernetes

Frontend technologies (React, Next.js)

Tools

AWS

GCP

Azure

Job description

We're looking for a Senior AI Architect to lead the design and development of production‑grade AI applications that solve complex real‑world challenges at scale. In this role, you'll combine AI architecture, software engineering, and cloud technologies to build intelligent systems from concept to deployment.

You'll work across the full technology stack, designing scalable AI solutions, retrieval systems, agent workflows, and modern application architectures that power next‑generation products. This opportunity is ideal for someone who thrives at the intersection of AI innovation and software engineering, enjoys solving complex technical problems, and has a proven track record of bringing AI‑powered systems into production.

Key Responsibilities

• Design and architect production‑grade AI applications and platforms
• Build and evolve scalable retrieval and knowledge systems that support AI‑powered experiences
• Design and implement agent‑based and multi‑agent architectures to solve complex workflows and automation challenges
• Develop backend services, APIs, data pipelines, and cloud‑native infrastructure supporting AI systems
• Architect end‑to‑end solutions that balance performance, scalability, reliability, and security
• Drive technical decisions related to AI application design, orchestration, deployment, and system integration
• Collaborate with engineering teams to deliver high‑quality solutions across multiple layers of the technology stack
• Integrate AI solutions with internal and external platforms, services, and data sources
• Contribute to engineering standards, architecture reviews, and technical best practices
• Mentor engineers and promote a culture of technical excellence

Core Requirements

• Proven experience designing, building, and deploying AI‑powered applications in production environments
• Strong experience with Retrieval‑Augmented Generation (RAG) architectures and retrieval‑based systems
• Experience designing and implementing agent‑based or multi‑agent systems for real‑world production use cases
• Deep understanding of information retrieval, semantic search, knowledge systems, and AI orchestration patterns
• Experience developing and optimizing AI workflows, including retrieval, ranking, context management, and response generation
• Strong software architecture and distributed systems design experience
• Advanced proficiency in Python and modern software development practices
• Experience building backend services, APIs, and scalable cloud‑native applications
• Experience with modern frontend technologies such as React, Next.js, or similar frameworks
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience with Docker, Kubernetes, and modern deployment practices
• Understanding of security, authentication, and enterprise integration patterns
• Excellent written and verbal communication skills in English
• Ability to work independently in a remote, fast‑paced environment

Nice‑to‑Have

• Experience working with large‑scale language models and advanced AI architectures
• Familiarity with vector databases, hybrid search, reranking, and retrieval optimization techniques
• Experience with AI observability, evaluation frameworks, and performance monitoring
• Experience leading technical initiatives or mentoring engineering teams
• Exposure to streaming, real‑time systems, or high‑scale distributed platforms

Additional

US Timezone Overlap: 6h‑7h daily CST