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Agentic AI FDE Architect

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: GlobalPoint
Full Time position
Listed on 2026-07-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 170000 - 250000 USD Yearly USD 170000.00 250000.00 YEAR
Job Description & How to Apply Below

Location:
Alpharetta, GA (Onsite/Hybrid as applicable)

Duration:
Long Term

Job Description

We are seeking a highly skilled Agentic AI FDE Architect to join our team. The ideal candidate will have strong hands‑on experience designing, developing, and deploying AI/ML solutions in production environments. This is an individual contributor role that requires a balance of architecture, system design, and hands‑on coding.

Required Qualifications
  • 6 to 15 years of overall IT experience with at least 6+ years of experience in AI/ML application design and development.
  • Proven experience in architecture and system design with the ability to translate technical designs into scalable, production‑ready implementations.
  • Must be comfortable spending 50–70% of time on hands‑on development activities.
  • Experience building end‑to‑end AI/ML solutions, including data preparation, model integration, and application deployment.
Hands‑on experience with AI/ML frameworks such as:
  • Scikit‑Learn
  • Tensor Flow
  • Py Torch
Strong experience designing and implementing scalable AI/ML systems using:
  • APIs
  • Event‑driven architectures
Proficiency in handling structured and unstructured data using:
  • Num Py
  • Experience deploying and optimizing AI workloads on cloud platforms such as AWS or Azure.
Solid understanding of software engineering best practices, including:
  • Logging and monitoring
  • Production support and performance tuning
  • Strong debugging, troubleshooting, and problem‑solving skills.
Responsibilities:
  • Design, develop, and implement scalable AI/ML solutions for enterprise applications.
  • Architect and build production‑ready Agentic AI systems and services.
  • Develop and integrate AI models into applications using modern software engineering practices.
  • Design and implement APIs, microservices, and event‑driven components to support AI capabilities.
  • Deploy, monitor, and optimize AI workloads in cloud environments.
  • Collaborate with cross‑functional teams to deliver high‑quality technical solutions.
  • Ensure code quality, scalability, security, and production readiness of AI applications.
  • Provide technical leadership through hands‑on development and architectural best practices.
Additional Information
  • This is a hands‑on individual contributor role. Candidates must be comfortable designing solutions as well as actively coding, debugging, and supporting production implementations.
  • Candidates with strong software engineering fundamentals and practical AI/ML implementation experience are highly preferred.
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