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AI Solution Architect

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Remote from
USA
Salary
USD 156,339–400,440 / yr
Employment
Full Time
Experience
Open level
Published
Apply before
27 Nov 2026
Listing views
32
Application actions
3
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AI Summary

The role, at a glance.

Veeam is seeking an AI Solutions Architect to design and guide enterprise AI solutions across business systems, platforms, and development teams. The role combines solution architecture, distributed systems design, cloud integration, technical documentation, and stakeholder alignment. The architect will define functional and non-functional requirements, assess system impacts, support delivery resourcing, and oversee solution rollout and continuous improvement. Candidates need at least two years of AI solution architecture experience and five years in software engineering, with AWS or comparable cloud experience. This is a US-remote, cross-functional senior technical role with substantial influence on enterprise AI adoption.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior architecture position requiring enterprise AI design expertise alongside distributed systems, cloud, integrations, and software-delivery knowledge. It also demands independent technical judgment and effective coordination among business leaders, project managers, and multiple engineering stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$278,389.50
US market range (per year)$170k–$320k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses annual total target compensation (TTC), including base pay and performance-based bonus, with ranges varying by US geographic zone from $156,339 to $400,440 USD. The overall disclosed midpoint is $278,389.50 per year. Estimated US market compensation for a senior enterprise AI Solutions Architect is $170,000–$320,000 annually; this is an AI estimate rather than verified salary research.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you approach defining an AI solution for a business process with ambiguous requirements?

I would begin with discovery sessions to clarify the business outcome, users, constraints, success metrics, and risk tolerance. I would document functional and non-functional requirements, map affected systems and data flows, then propose a phased architecture with a small validated proof of value before broader rollout.

Describe how you evaluate an enterprise AI architecture for scalability and resilience.

I assess workload patterns, data volume, latency requirements, failure modes, integration dependencies, security controls, observability, and recovery objectives. I then design for modular services, reliable interfaces, monitoring, access controls, and capacity growth while validating the design through architecture reviews and testing.

How have you helped align technical teams and business stakeholders during a complex implementation?

I establish a shared problem statement, architecture decision records, ownership boundaries, delivery milestones, and regular communication forums. I translate technical trade-offs into business impact, surface risks early, and ensure decisions and dependencies remain visible to both technical and non-technical stakeholders.

What factors would you consider when choosing AWS services or another cloud platform for an AI solution?

I would consider data sensitivity, model and inference needs, integration patterns, scalability, reliability, cost, operational maturity, security and compliance requirements, and the organization’s existing cloud standards. The selected services should support a maintainable architecture rather than simply optimize for initial implementation speed.

How do you ensure that solution documentation remains useful after deployment?

I define documentation ownership as part of delivery, use consistent architecture and interface templates, and maintain decision records, runbooks, data-flow diagrams, and operational requirements in version-controlled locations. I also include documentation reviews in release processes and update materials when significant design changes occur.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

#LI-JC2 #LI-REMOTE

About the Role

Veeam is a leading provider of backup and recovery software for virtual, physical, and cloud environments. Our Corporate Technology team oversees the operation of the company’s information systems and supports the platforms and services that power Veeam’s business worldwide. We are seeking an AI Solutions Architect to design strategic, cross-functional, and cross-platform AI solutions that enable business transformation. In this role, you will partner with business and technology leaders to architect scalable AI solutions, drive implementation, and ensure successful adoption across the organization.

What You’ll Do

  • Work with business leadership and development teams managers to define the scope of the AI solution and clarify its functional and non-functional requirements.
  • Identify involved and affected systems and existing AI tools and solutions, perform an impact analysis.
  • Design technological solutions that satisfy identified business and technical requirements.
  • Help project managers identify technical experts and stakeholders and secure development team resources necessary to deliver project objectives.
  • Facilitate communication among technical experts and stakeholders while helping project managers coordinate development teams in their efforts to implement solutions and meet project objectives.
  • Ensure proper rollout of AI solutions.
  • Document AI solutions at a high level and ensure the appropriate low-level documentation is created and maintained by development teams.
  • Facilitate continuous improvement of designed solutions

Technologies You’ll Work With

  • AI platforms and solutions
  • AWS or other major cloud providers
  • Python, Go, TypeScript, or other programming languages
  • Distributed systems architectures
  • Integration platforms and technologies
  • UML
  • ITIL and ITSM frameworks
  • Agile development methodologies

What You’ll Bring

  • 2+ years of work experience as an AI Solution Architect and 5+ years in Software Engineering.
  • Knowledge of the design principles of distributed systems and modern integration approaches.
  • Experience with AWS or another major cloud provider.
  • Knowledge of UML.
  • Deep understanding of the software development lifecycle.
  • Proficiency in English sufficient to read and write technical documentation and communicate effectively with English-speaking users and stakeholders.
  • Desire and ability to learn new technologies quickly and independently.
  • Strong communication and collaboration skills with the ability to work effectively across technical and business teams.

Bonus Skills

  • Proficiency in at least one programming language such as Python, Go, or TypeScript.
  • Knowledge of ITIL and ITSM frameworks.
  • Knowledge of Agile methodologies.
  • Experience designing and implementing enterprise AI solutions.
  • Experience working across multiple platforms, systems, and business functions in large-scale environments.

What you’ll get

  • Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
  • Medical, dental, and vision coverage starting on your first day
  • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
  • 401(k) retirement plan with company matching contributions
  • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
  • AirVet: 24/7 virtual veterinary care at no cost
  • Legal services, identity protection, and supplemental health insurance options
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting
  • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Compensation Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.

U.S. Geographic Zones & Compensation Ranges (TTC / OTE)

Zone 1: San Francisco Bay Area, New York City Boroughs

$215,640—$400,440 USD

Zone 2: Washington, California (excluding San Francisco Bay Area)

$197,670—$367,070 USD

Zone 3: Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, New York (excluding NYC boroughs); Sales roles located in Georgia, Ohio, and Arizona

$179,700—$333,700 USD

Zone 4: All other US locations

$156,339—$290,319 USD

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.

By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.

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