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Gen AI Architect

Job in Fort Mill, York County, South Carolina, 29715, USA
Listing for: Cynet systems Inc
Full Time position
Listed on 2026-01-24
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 65 - 70 USD Hourly USD 65.00 70.00 HOUR
Job Description & How to Apply Below

Job Description

Pay Range: $65/hr - $70/hr

Requirement/Must Have
  • Eight plus years of experience in software architecture.
  • Three plus years of hands‑on experience with AI/ML systems.
  • Strong expertise in large language model integration, prompt engineering, and agent‑based architectures.
  • Experience working with financial services applications and regulatory requirements.
  • Strong knowledge of AWS cloud architecture and AI/ML services.
  • Understanding of optimization algorithms and financial modeling.
  • Excellent technical leadership and communication skills.
Experience
  • Experience designing end‑to‑end AI‑enabled platforms.
  • Experience defining integration patterns between LLMs, specialized models, and external engines.
  • Experience establishing AI governance frameworks and responsible AI controls.
  • Experience designing secure, scalable, and high‑performance solutions.
Responsibilities
  • Design the overall architecture for an agentic AI platform leveraging enterprise AI assets and accelerators.
  • Define integration patterns between LLMs, specialized AI models, and external optimization engines.
  • Establish AI governance frameworks, including responsible and explainable AI controls.
  • Create technical specifications for agent orchestration and workflow design.
  • Ensure solutions meet security, privacy, scalability, and performance requirements.
  • Guide development teams on AI implementation best practices.
  • Design explainability components for AI‑driven decisions.
  • Collaborate with stakeholders to align technical architecture with business objectives.
Skills
  • AWS services such as Lambda, ECS, API Gateway, S3, Dynamo

    DB, and Sage Maker.
  • LLM platforms and enterprise‑approved AI models.
  • Agent orchestration frameworks.
  • Infrastructure as Code tools.
  • API development using REST or Graph

    QL.
  • Cloud security and identity management frameworks.
  • Monitoring and observability tools.
  • Version control and CI/CD tools.
Qualification and Education
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
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