AI-Powered CTO for Secure GovCloud & Edge (Remote)

Talantir

Charlotte (NC)

Hybrid

USD 220,000 - 320,000

Full time

14 days+

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Benefits offered by this job

Equity
Medical insurance
Vision insurance
Dental insurance

Job summary

Incerta Intelligence Inc. is seeking a Chief Technology Officer to lead the technical vision, architecture, and hands-on engineering for an AI-native platform. You will own security, deployment strategies, and customer-facing technical conversations with mission customers and partners.

You will drive architecture across model orchestration, data guardrails, and evaluation while guiding the engineering team through secure SDLC and government compliance. A strategic, hands-on leader is essential.

Qualifications

  • 10+ years professional software engineering with leadership roles.
  • Hands-on experience with AI-native development and enterprise deployments.
  • Experience with LLM orchestration, evaluation, retrieval, and guardrails.
  • Cloud-native architecture and Kubernetes expertise.
  • Secure SDLC and government compliance experience.
  • Ability to lead executive and government-level technical discussions.

Responsibilities

  • Define the technical vision and architecture for the platform.
  • Contribute hands-on to the core platform and tackle complex challenges.
  • Oversee secure SDLC, threat modeling, and compliance.
  • Lead deployment into GovCloud, air-gapped, and disconnected environments.
  • Manage customer-facing technical relationships and partnerships.

Skills

Software engineering leadership
LLM-based systems
Cloud-native architecture
Kubernetes
Microservices
CI/CD
Secure SDLC
Threat modeling
Government compliance
Executive discussions

Job description

Incerta Intelligence Inc. is seeking a Chief Technology Officer to lead the technical vision, architecture, and hands-on engineering for an AI-native platform. You will own security, deployment strategies, and customer-facing technical conversations with mission customers and partners.

You will drive architecture across model orchestration, data guardrails, and evaluation while guiding the engineering team through secure SDLC and government compliance. A strategic, hands-on leader is essential.

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