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AI Solutions Architect

An AI Solutions Architect designs end-to-end AI systems that meet business, technical, and compliance requirements. They choose models, data flows, and infrastructure, define integration patterns, and guide teams from proof of concept to scaled deployment. The role is part engineer, part advisor, translating strategy into robust architectures that customers and stakeholders can trust.

Responsibilities

Design end-to-end architectures for AI systems
Select models, data pipelines, and infrastructure
Define integration, security, and scaling patterns
Guide teams and customers from POC to production
Balance performance, cost, and compliance
Document reference architectures and best practices

Must-have skills

Broad AI and ML systems knowledge
Strong cloud architecture experience
Data engineering and integration expertise
Ability to communicate with technical and business audiences
Understanding of security and compliance in AI

Nice-to-have skills

Pre-sales or customer-facing experience
Knowledge of MLOps tooling
Vertical domain expertise
Cost-optimization skills for AI workloads

Average Salary

Typical US base salary for an HR Generalist by experience level.

Junior

0–2 yrs experience

$125,000 – $155,000
US annual salary (USD)

Intermediate

0–2 yrs experience

$155,000 – $195,000

US annual salary (USD)

Senior

0–2 yrs experience

$195,000 – $260,000

US annual salary (USD)

Figures are annual US market estimates for orientation, not offers. Actual pay varies by location, company stage, and equity.

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Frequently asked questions

What does an AI Solutions Architect do?
They design how all the pieces of an AI system fit together, from models and data to infrastructure and security, and guide teams through building and scaling it.
Is this a technical or a customer-facing role?
Often both. Many solutions architects work with customers or internal stakeholders while remaining deeply technical about system design.
How is it different from an AI Engineer?
AI Engineers build the components; Solutions Architects design the overall system and make high-level technology and integration decisions.
What background leads to this role?
Typically senior engineering or ML experience, plus strong cloud architecture skills and the ability to communicate designs clearly.

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