Senior AI Architect at Kake

Confirmed open

Kake is hiring a senior ai architect focused on AI architecture and solution design.

Kake

Location: Remote
Advertised region: Worldwide
Work arrangement: remote
Technologies: Python, React, AWS, Azure, GCP, Kubernetes, Docker

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Role overview

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.

Responsibilities

Design, build or review technical systems for AI architecture and solution design.
Collaborate with customers, product and engineering stakeholders.
Improve reliability, testing, documentation and delivery quality.
Translate complex requirements into practical, maintainable solutions.

Qualifications

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.
Deep understanding of information retrieval, semantic search, knowledge systems, and AI orchestration patterns.
Advanced proficiency in Python and modern software development practices.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
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.
Familiarity with vector databases, hybrid search, reranking, and retrieval optimization techniques.
Exposure to streaming, real-time systems, or high-scale distributed platforms.

Technology in this role

Python: Python React AWS Azure GCP Kubernetes .
React: Python React AWS Azure GCP Kubernetes .
AWS: Python React AWS Azure GCP Kubernetes .
Azure: Python React AWS Azure GCP Kubernetes .
GCP: Python React AWS Azure GCP Kubernetes .
Kubernetes: Python React AWS Azure GCP Kubernetes .
Docker: Python React AWS Azure GCP Kubernetes .
Next.js: • Experience with modern frontend technologies such as React, Next.js, or similar .
RAG: • Strong experience with Retrieval-Augmented Generation (RAG) architectures and retrieval-based .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Senior AI Architect position at Kake is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “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.” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Design, build or review technical systems for AI architecture and solution design.”; “Collaborate with customers, product and engineering stakeholders.”; “Improve reliability, testing, documentation and delivery quality.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “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.”. Mark each requirement.

Benefits

Worldwide or US-remote arrangement as stated in the official posting.
Opportunity to work on software, AI or technical delivery projects.

About Kake

Kake describes itself as a remote-first community of experienced software engineers that helps client teams add individual engineers or full engineering groups. Its model combines technical vetting and human selection with AI-supported processes; Kake engineers work as dedicated members of client teams rather than as a separate outsourced delivery queue.

The company recruits across frontend, backend, mobile, quality engineering, data and DevOps. Its public hiring pages emphasize end-to-end ownership, collaboration with product and design, and engineering judgment. The exact client, product, team structure and employment terms can vary by opening, so candidates should verify those specifics in the individual listing.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-17

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