Overview
Hybrid(3 Days in a week to office)
$120,000 - $125,000
Full Time
Skills
Amazon Web Services
Artificial Intelligence
Cloud Computing
Machine Learning (ML)
Information Security
Solution Architecture
Job Details
AR: 465257
Job Title: Applied AI/ML Architect
Location: Reston, VA
Employment Type: (Full-time / Hybrid)
Job Summary:
We are seeking an experienced Applied AI/ML Architect who will be responsible for leading architectural decisions across our Cloud and Data Enterprise Portfolios. The ideal candidate will have a deep understanding of AI/ML solutions in cloud environments, technical architecture best practices, and hands-on experience with enterprise AI/ML adoption.
Key Responsibilities:
- Act as a trusted advisor to business teams and collaborate to understand requirements for AI/ML and cloud implementations.
- Provide expert recommendations on AI/ML implementations and prepare technical roadmaps for successful adoption.
- Create architectural artifacts including application, data, and deployment architectures, as well as functional design specifications.
- Design state-of-the-art AI/ML solutions that meet customer requirements in terms of functionality, scalability, reliability, security, and performance.
- Work closely with cross-functional teams including Information Security, Compliance, and Controls to ensure alignment on architectural decisions.
Required Qualifications:
- Bachelor s degree in Computer Science or a related field is required; a Master s degree is preferred.
- 10+ years of progressive hands-on experience in application development.
- At least 5 6 years of experience in solution architecture, systems architecture, and engineering in AI-related disciplines.
- A minimum of 5 years of experience working with cloud providers such as AWS or Azure.
- Technical leadership experience is preferred.
Preferred Skills & Experience:
- Proven experience implementing AI/ML solutions in cloud environments.
- Deep understanding of enterprise AI/ML adoption best practices including security, architecture, and design patterns.
- Familiarity with microservices architectures and data cloud migration strategies.
- Experience working in multi-cloud environments (AWS, Azure, Google Cloud Platform) is a strong plus.
- Excellent interpersonal and communication skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.