Salary
≈ $158k – $286k per year (Estimated)
Location
Remote (United States)
Seniority
Architect
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Sep 30, 2026. Dev.Pro scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Headquartered in Las Vegas, Nevada, Dev.Pro is a software engineering services and IT staff augmentation firm specializing in custom software development and distributed technical talent solutions. Founded in 2011, the company operates as a global, remote-first organization delivering end-to-end capabilities across cloud engineering, DevOps, application security, data analytics, blockchain development, and UI/UX design. Serving high-growth technology scale-ups, venture-backed startups, and Fortune 500 enterprises across industries such as FinTech, HealthTech, digital commerce, and hospitality, it provides dedicated engineering pods and managed development services designed to shorten time-to-market, modernize legacy architectures, and scale engineering capacity.
TravelConfirm, Inc. dba Dev-Pro.net seeks Head of Artificial Intelligence (AI) Practice for Charlotte, North Carolina,
telecommuting from anywhere in the U.S. is permissible 100% of the time. Send resume to Anastasiia Shulzhenko at [email protected] or apply online at www.career.dev.pro/vacancies. EOE.
Responsibilities:
- Lead AI practices and AI Community initiatives;
- Conduct and manage R&D projects;
- Define and maintain organizational AI tooling standards;
- Communicate AI security concerns;
- Track AI progress at company level;
- Establish and maintain AI knowledge base;
- Manage delivery of AI projects for clients;
- Oversee AI projects delivery;
- Conduct project audits;
- Resolve project issues;
- Mentor teams;
- Lead development of internal AI solutions;
- Define and communicate architecture vision;
- Provide executive oversight for proposals and technical solutioning;
- Lead client discovery and solution scoping;
- Support business development through practice leadership;
- Lead technical stakeholder interviews;
- Oversee solution design and present solution strategy to clients;
- Develop AI grades and assessment criteria;
- Participate in staffing; and conduct AI candidate interviews.
Education Requirements: Bachelor’s degree in Computer Engineering, Computer Science, Software Engineering, or a closely related field.
Work Experience Requirements:
- 8 years of progressive professional work experience in software engineering including five (5) years of experience with system architecture and software design tools and platforms including C4 Model, UML, PlantUML, and Draw.io;
- 5 years of experience with major cloud platforms including AWS and Azure for AI solution architecture and deployment;
- 5 years of experience with technical team leadership and project delivery oversight using CI/CD and containerization tools such as GitHub Actions, Docker, Jenkins, and TeamCity;
- 3 years of experience with technical consulting and pre-sales support with tools including Jira and Confluence; and experience with industry-standard artificial intelligence and machine learning technologies including generative AI methodologies and AI-assisted software development tools such as Whisper and Python programming for artificial intelligence/machine learning (AI/ML) development.
Alternative Requirements:
- Master’s degree in Computer Engineering, Computer Science, Software Engineering or a closely related field and three (3) years of professional work experience in software engineering including two (2) years of experience with system architecture and software design tools and platforms including C4 Model, UML, PlantUML, and Draw.io;
- 2 years of experience with major cloud platforms including AWS and Azure for AI solution architecture and deployment;
- 2 years of experience with technical team leadership and project delivery oversight using CI/CD and containerization tools such as GitHub Actions, Docker, Jenkins, and TeamCity;
- 1 year of experience with technical consulting and pre-sales support with tools including Jira and Confluence; and experience with industry-standard artificial intelligence and machine learning technologies including generative AI methodologies and AI-assisted software development tools such as Whisper and Python programming for artificial intelligence/machine learning (AI/ML) development. Will accept any suitable combination of education, training, or experience.
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