Hire Solution
Architects
The decisions made before development starts determine whether the system can scale, be maintained, and be improved. We bring the architect who makes those decisions right. US, UK & EU companies, served from India.
What our solution architects deliver
Architecture is upstream of everything. Getting it wrong is expensive; getting it right is invisible. Here's where our architects add value.
AI System Architecture
Designing the full AI system before a line gets written — model selection, data flow, latency boundaries, eval loops, and fallback chains. The decisions made here determine whether the system can be improved after launch.
Cloud Architecture (AWS / GCP / Azure)
Infrastructure designed for scale, cost, and resilience — VPCs, IAM, compute selection (EC2, Lambda, GKE, Cloud Run), storage, and observability. Not over-engineered for a v1, not under-engineered for v10.
API & Integration Design
REST and GraphQL API design, event-driven architectures, microservices boundaries, and third-party integration patterns. Built so your team can maintain and extend the system without the architect in the room.
Technical Due Diligence
A systematic review of an existing codebase, architecture, or technical stack — for acquisition, investment, or internal risk assessment. Structured findings, not opinions. Delivered with a clear recommendation.
Technology Selection
The build / buy / integrate decision — made with evidence. Database selection, cloud provider trade-offs, framework choices, and vendor evaluation. The goal is the right answer, not the most fashionable one.
Migration & Modernisation Planning
Moving from legacy to cloud, monolith to services, or on-premise to managed infrastructure — with a phased plan that keeps the product shipping throughout. Not a big-bang rewrite, not a 5-year roadmap nobody follows.
Hire a solution architect the way you need one
Embedded Architect
Architecture leadership in your team
A solution architect working directly with your engineers — attending design reviews, making technology decisions, and catching architectural drift before it becomes technical debt. Part-time or full-time.
Best for
Growing engineering teams that need senior architectural oversight without a full-time VP Eng.
Architecture Sprint
Design first, build second
An intensive scoping engagement before development starts — system design, technology selection, API contracts, and infrastructure plan delivered in 1–2 weeks. Developers can start on solid ground.
Best for
Companies about to start a significant build who want the architecture right from day one.
Technical Due Diligence
Structured architecture review
A time-boxed review of an existing system — code quality, architectural risks, scalability ceilings, security exposure, and dependency health. Delivered as a structured report with prioritised findings.
Best for
Investors, acquirers, or founders who need an independent technical assessment.
Technologies our solution architects design across
AWS
GCP Vertex AI
Azure ML
Docker
Kubernetes
Terraform
SQL
PostgreSQL
Redis
MongoDB
S3
Python
FastAPI
Django
Spring Boot
Java
LangChain
LlamaIndex
Hugging Face
MLflow
PineconeWhy global companies hire solution architects through Artinoid
Most architectural mistakes look fine on day one. They compound quietly until the day you need to scale, migrate, or onboard a new engineer — and can't.
Decisions Made Before They're Expensive
The wrong database choice, the wrong API boundary, the wrong cloud region — these cost very little to change at the design stage and very much to change after six months of development. An architect on day one pays for itself.
Faster Than In-House Hiring
Senior solution architects with AI system design experience are among the hardest technical roles to fill locally. We've already vetted them. You get matched in days — not after a six-month search.
40–60% Lower Than US/UK Rates
Principal-level architectural thinking out of India at a fraction of London or San Francisco rates. The experience is real; the cost gap is also real.
No Lock-In
Architecture work is front-loaded. Engage for a design sprint, extend for an ongoing advisory role, or close the engagement once the build is on solid ground. Two weeks' notice, no long-term commitment.
Simple process, faster than in-house hiring
Discovery Call
We learn about your goals, team structure, timeline, and what a successful engagement looks like for you.
Candidate Matching
We shortlist pre-vetted candidates whose skills and experience closely match your requirements.
Technical Interview
You interview shortlisted candidates directly — same process as in-house hiring. You decide who joins.
Contracts & NDA
Agreements signed swiftly. IP assignment, confidentiality, and data handling are all covered before work begins.
Onboarding
Your new team member is set up, briefed, and contributing from day one. No extended ramp-up.
Common questions
What does a solution architect actually do day-to-day?
At the start of a project: system design, technology selection, API contract definition, data model design, and infrastructure planning. During development: design review, catching drift from the agreed architecture, advising on tricky implementation decisions, and updating the design as requirements change. On an existing system: identifying risk, scalability ceilings, and technical debt, and producing a prioritised remediation plan.
How do you approach AI system architecture specifically?
AI systems have failure modes that traditional software doesn't: model performance degradation, prompt injection, latency unpredictability at inference time, and data pipeline drift. We design for these from the start — eval loops built into the architecture, fallback chains for model calls, monitoring for output quality, and clear separation between the AI layer and the rest of the system so the model can be swapped without a rewrite.
Can you review our existing architecture and tell us what's wrong?
Yes — this is the technical due diligence engagement. We review the codebase, infrastructure, dependency tree, and API design against a structured framework: scalability (where does it break under load?), security (where is data exposed?), maintainability (can a new engineer understand this?), and resilience (what happens when the database goes down?). Findings are prioritised by severity and cost to fix.
We're choosing between AWS, GCP, and Azure — can you help?
Yes. The right cloud provider depends on your existing team's knowledge, your AI/ML workload profile (GCP's Vertex AI vs AWS SageMaker vs Azure ML have real differences), your compliance requirements, and your likely growth trajectory. We'll give you a structured comparison against your specific requirements — not a generic feature matrix.
How long does an architecture sprint take?
For a focused greenfield system: 1–2 weeks. The deliverable is a system design document covering component boundaries, data flows, API contracts, infrastructure plan, and technology selection rationale — plus a 90-minute walkthrough with your engineering team. Complex systems or those with significant legacy constraints take longer and are scoped after the discovery call.
Can the architect stay involved during development?
Yes. Many architecture engagements transition from sprint to advisory — the architect attends weekly design reviews, is available for async design questions, and does a formal architecture review at each major milestone. This is lighter-touch than a full-time embed but keeps the system on track.
Do your architects sign NDAs before seeing our system?
Yes. NDA and IP assignment agreements are signed before any proprietary system details are discussed or reviewed. Standard for every engagement.
Ready to hire a solution architect?
Tell us what you're designing or reviewing — new system, existing architecture audit, cloud migration, or AI system design. We'll scope the right engagement and match you within 48 hours.
contact@artinoid.com
Response Time
Within 24 hours
Next Step
Discovery call to scope your architecture requirements