Lead Architect - Airvoyant

Trax USA Corp

Miami (FL)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Trax USA Corp is looking for a Lead Architect to define and drive the technical architecture of its AI-first platform. The candidate will lead the design of scalable solutions and work on cloud-native applications, APIs, and enterprise integrations.

The ideal candidate should have over 10 years of experience in software engineering, with strong expertise in AWS services and AI-based solutions. This is a full-time role based in Miami, Florida.

Qualifications

  • 10+ years of software engineering and architecture experience.
  • 5+ years architecting cloud-native applications on AWS.
  • Strong leadership and communication skills.

Responsibilities

  • Define and own the architecture strategy for Airvoyant's AI-powered platform.
  • Design scalable solutions leveraging Generative AI and intelligent automation.
  • Lead architecture for cloud-native applications, APIs, and microservices.

Skills

AI/LLM-based solutions
Agentic AI and RAG architectures
Microservices and distributed systems
API-first and event-driven architectures
AWS services experience

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS Lambda
AWS ECS/EKS
AWS API Gateway
AWS S3
AWS RDS

Job description

Airvoyant is building AI-powered aviation software that transforms aircraft maintenance, supply chain operations, and fleet management. We leverage cloud-native technologies, AI, and intelligent automation to help airlines, MROs, and aviation suppliers improve operational efficiency and decision-making.

We are seeking a Lead Architect to define and drive the technical architecture of our AI-first platform. This role will lead the design of scalable cloud-native applications, Agentic AI solutions, enterprise integrations, and data platforms that power mission-critical aviation workflows.

The ideal candidate combines deep architecture expertise with hands‑on experience building AI-enabled systems on AWS.

Responsibilities
  • Define and own the architecture strategy for Airvoyant's AI-powered platform.
  • Design scalable solutions leveraging Generative AI, Agentic AI, RAG, and intelligent automation.
  • Lead architecture for cloud-native applications, APIs, microservices, and event‑driven systems.
  • Establish architectural standards, governance, security, and best practices.
  • Partner with Product, Engineering, and Data Science teams to translate business needs into scalable technical solutions.
  • Drive technology selection, proof‑of‑concepts, and architecture reviews.
  • Mentor engineering teams and provide technical leadership across the organization.
  • Design integrations with aviation, MRO, ERP, and supply chain systems.
  • Other duties as assigned.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 10+ years of software engineering and architecture experience.
  • 5+ years architecting cloud-native applications on AWS.
  • Strong expertise in:
    • AI/LLM-based solutions
    • Agentic AI and RAG architectures
    • Microservices and distributed systems
    • API-first and event-driven architectures
    • Hands‑on experience with AWS services including Lambda, ECS/EKS, API Gateway, S3, RDS, EventBridge, SQS/SNS, CloudWatch, and IAM.
    • Experience designing highly scalable, secure, and resilient SaaS platforms.
    • Strong leadership, communication, and stakeholder management skills.
Preferred Skills and Qualifications
  • Experience architecting data-intensive solutions leveraging Amazon Redshift and Amazon S3 Data lakes for analytics, AI/ML, and operational intelligence.
  • Experience with vector databases and AI orchestration platforms.
  • Aviation, MRO, airline operations, or supply chain domain experience.
  • AWS Solutions Architect certification.

Job Type: Full-Time

Travel: Less than 15%

Trax USA Corp. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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