---
title: 'Solutions Architect at Shakudo'
canonical: 'https://feeny.ai/job/solutions-architect-shakudo-toronto-j1xtm4fhzhss'
type: 'job'
last_seen: '2026-09-10'
---

# Solutions Architect at Shakudo

- **Company:** Shakudo
- **Location:** Toronto, Canada
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-17
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/shakudo/f5b718f3-e5ab-4ae2-891f-0ca5f77654ed

## Job description

At Shakudo, we're building the world's first operating system for data and AI. We use the term "operating system" in the truest sense: just like iOS, Windows, or Linux, Shakudo's end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to each business's unique needs. We are seeking a Solution Architect to join our Stack team and serve as the technical anchor for our customers — understanding their data and AI infrastructure challenges, architecting solutions on the Shakudo platform, and driving ongoing account growth. This is a hands-on, client-facing role for someone who bridges deep technical expertise with strong relationship skills and can move between Kubernetes, Helm, and cloud infrastructure and strategic customer conversations. In this role, you will own the technical relationship with assigned accounts: architecting production-ready solutions, integrating the Shakudo platform into customer environments, and expanding Shakudo's footprint by connecting customer needs to platform capabilities. This is not a pure pre-sales or post-sales role — it is an outcome-driven engineering and advisory role where success is measured by customer adoption, solution quality, and account growth.

## Responsibilities

- Design and deliver end-to-end technical solutions on the Shakudo platform that address real-world data and AI challenges for enterprise customers
- Integrate open-source and proprietary components seamlessly with the Shakudo platform using Kubernetes, Helm Charts, and infrastructure-as-code
- Build elegant, production-ready solutions — not just proof-of-concepts — that customers rely on in production
- Contribute to architectural decisions and establish design patterns for platform development with high autonomy
- Serve as the trusted technical advisor for assigned accounts — understand their infrastructure, roadmap, and pain points deeply
- Diagnose and resolve complex technical issues customers face in their data and AI stack, from Kubernetes orchestration to pipeline performance
- Identify opportunities to expand Shakudo's footprint within existing accounts by connecting customer needs to platform capabilities
- Navigate customer organizations effectively — from individual contributors to engineering leaders and C-suite decision-makers
- Champion customer needs internally, influencing product direction and Stack team priorities
- Partner with Product and Engineering teams to translate customer requirements into scalable, robust systems
- Collaborate with Customer Engineering to ensure smooth hand-offs and consistent solution quality
- Contribute to internal knowledge bases, solution patterns, and best practices that accelerate delivery across the team

## Qualifications

- 4–8 years of experience in solution engineering, solution architecture, or a senior engineering role with significant client-facing responsibility
- Strong Kubernetes and Helm Chart development and deployment experience
- Experience with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, and infrastructure as code
- Backend and frontend experience (e.g., Python, React, TypeScript) — enough to be hands-on when needed
- Demonstrated ability to manage client relationships, solve complex technical problems under pressure, and drive account growth
- Excellent communication skills — you can explain deep technical concepts to non-technical stakeholders and translate business requirements into architecture
- A hands-on, solutions-first mindset and a passion for fast, high-quality delivery

A Plus

- Experience in data engineering, MLOps, or AI infrastructure
- Prior experience in a Solutions Architect or Solutions Engineer role at a B2B infrastructure or platform company
- Familiarity with the open-source data and AI ecosystem (dbt, Airflow, MLflow, etc.)

## Why Shakudo Stands Out

Work with cutting-edge technologies in machine learning and high-performance computing Contribute to a platform that transforms how organizations leverage data and AI Join a dynamic team that values innovation, efficiency, and diversity

Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences.

## About Shakudo

## Company Overview
- **One-liner**: Shakudo provides an operating system for AI and data that orchestrates best-of-breed tools in a customer’s own infrastructure, enabling enterprises to build, deploy, and govern AI agents without vendor lock-in.
- **Entity Type**: Private (Series A; raised multiple rounds including a CAD 9.5M round in October 2025)
- **Headquarters**: Toronto, Ontario, Canada
- **Founded**: 2021
- **Founders**: Yevgeniy Vahlis (CEO & Co-founder) and Christine Yuen (Head of Engineering & Co-founder)

## Core Business
- **Primary industry**: AI infrastructure / Enterprise software
- **Target customers**: B2B – large enterprises in retail, real estate, financial services, healthcare, aerospace, and automotive
- **Mission/purpose**: “Unlock the Potential of AI for All” – turning breakthrough ideas into real-world impact by making AI secure, sovereign, and easy to operationalize

## Products & Services
- **Shakudo Platform**: The core operating system that auto‑orchestrates 170+ AI and data tools (open‑source and commercial) in the customer’s own cloud or on‑prem environment. Provides a fully automated DevOps experience, cost management, and governance.
- **Kaji AI Gateway**: A secure gateway for deploying and managing autonomous AI agents with built‑in RBAC, OWASP Top 10 LLM risk mitigation, and container/PyPI/CRAN vulnerability scanning.
- **Stack Components**: A curated library of pre‑integrated AI/Data stack components (e.g., vector databases, LLM runtimes, data warehouses) that can be deployed with a single click.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total disclosed funding ~USD 10.6M (Seed $3.4M + Series A $7.2M) plus CAD 9.5M additional Series A in 2025; 36 employees (+2.6% YoY)
- **Notable Investors/Partners**: GreatPoint Ventures, Wittington Ventures, Golden Ventures, Parade Ventures
- **Growth Signals**: Headcount grew 2.6% YoY; 10 active job postings (monthly job posting growth +100%); customer wins include major Canadian food retailer, $77.6B AUM real estate firm; expanded into US market with an office

## Competitive Advantages
- **Tool‑agnostic platform** – customers can pick any AI tool without being locked into a single vendor
- **Runs in customer’s own infrastructure** (on‑prem, air‑gapped, private cloud) – critical for regulated industries and data sovereignty
- **SOC 2 Type II certified** with built‑in security features (RBAC, vulnerability scanning, OWASP LLM risk mitigation)
- **Dramatically reduces deployment cycles** – one customer cited a drop from 6‑month procurement to same‑day delivery

## Strategic Focus
- **Sovereign AI** – enabling enterprises to keep data in their own trusted environment while still leveraging cutting‑edge AI tools
- **Autonomous AI agents** – the platform is evolving to support agentic workflows and autonomous decision‑making
- **Scale from pilot to production** – offering executive briefings, hands‑on workshops, and embedded engineering support to accelerate enterprise AI adoption

## Why Work Here
- **Culture**: “Talented and diverse people from all over the world” who love solving problems; emphasis on learning, growing, and succeeding together
- **Remote/Hybrid**: Remote opportunities available; some roles (e.g., Solutions Architect in Bengaluru) are on‑site; HQ in Toronto with offices in the US
- **Perks & Growth**: Provided training and innovative professional development; technical team makes up 28% of workforce, giving engineers a strong voice
- **Current openings** (as of late 2025/early 2026): Forward Deployed Engineer, Senior Software Development Engineer (Stack Team), Business Development Representative, Senior Engagement Manager, Principal Software Engineer, Infrastructure Engineer, Solutions Architect

## Sources
1. [shakudo.io/careers](https://www.shakudo.io/careers)
2. [shakudo.io](https://www.shakudo.io/)
3. [linkedin.com/company/shakudo](https://ca.linkedin.com/company/shakudo)
4. [cbinsights.com/company/shakudo](https://www.cbinsights.com/company/shakudo)
5. [getclera.com/companies/shakudo](https://www.getclera.com/companies/shakudo)

## Other roles at Shakudo

- [Solutions Architect](https://feeny.ai/job/solutions-architect-shakudo-bengaluru-x6p5exhmd097) — Bengaluru, India
- [Vice President of Product Marketing](https://feeny.ai/job/vice-president-of-product-marketing-shakudo-menlo-park-0c42rrpd1vdx) — Menlo Park, CA
- [Account Executive](https://feeny.ai/job/account-executive-shakudo-menlo-park-9jj9efrrnxc6) — Menlo Park, CA
- [Senior Forward Deployed Engineer](https://feeny.ai/job/senior-forward-deployed-engineer-shakudo-toronto-1bqm6z5kv3zd) — Toronto, Canada
- [Infrastructure Engineer](https://feeny.ai/job/infrastructure-engineer-shakudo-toronto-asmnwsqbzdcw) — Toronto, Canada
- [Channel BDR](https://feeny.ai/job/channel-bdr-shakudo-menlo-park-361jr1c55zs9) — Menlo Park, CA
- [Principal Engineer](https://feeny.ai/job/principal-engineer-shakudo-menlo-park-e54s4pataxh2) — Menlo Park, CA
- [Account Executive](https://feeny.ai/job/account-executive-shakudo-toronto-w9aj1vm2c4fz) — Toronto, Canada
- [General Manager - OS Platform Business Unit](https://feeny.ai/job/general-manager-os-platform-business-unit-shakudo-toronto-650wvqchjqwv) — Toronto, Canada
- [Senior Software Engineer - Platform Development](https://feeny.ai/job/senior-software-engineer-platform-development-shakudo-san-francisco-42gykh79420w) — San Francisco, CA