Senior Generative AI Architect & Tech Lead

Citigroup

Irving (TX)

Vor Ort

USD 180.000 - 260.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Citigroup in Irving, TX seeks a principal Generative AI/AI Lead to architect next-gen intelligent systems from concept to production. You will mentor engineers, align with business leaders, and set governance and MLOps practices across the AI program.

You will lead end-to-end ML/AI initiatives, manage risk and cost, and drive scalable, reliable AI solutions in a fast-paced environment.

Qualifikationen

  • 6+ years leading Gen AI projects and teams.
  • Experience designing scalable, governable AI systems.
  • Ability to collaborate with business stakeholders to shape strategy.
  • Bachelor's degree or equivalent practical experience.

Aufgaben

  • Architect & Design: Lead the design and architecture of complex AI systems.
  • Strategize & Collaborate: Partner with business leaders to define roadmaps and translate needs into a technical vision.
  • Lead & Mentor: Manage and grow a team of AI engineers and provide technical guidance.
  • Govern & Standardize: Establish AI governance frameworks and MLOps best practices.
  • Hands-On Leadership: Stay hands-on in development and set code quality standards.
  • Drive Innovation: Lead research into emerging AI technologies and PoCs.
  • Oversee MLOps: Define strategy for deployment, monitoring and lifecycle management in OpenShift.

Kenntnisse

Gen AI leadership
Team leadership
Architectural design
Business acumen
AI governance
Python proficiency
Deep ML/AI
Data handling
MLOps
Bachelor's degree

Ausbildung

Bachelor's degree or equivalent

Tools

Docker
OpenShift/Kubernetes
FastAPI
PyTorch/TensorFlow

Jobbeschreibung

Citigroup in Irving, TX seeks a principal Generative AI/AI Lead to architect next-gen intelligent systems from concept to production. You will mentor engineers, align with business leaders, and set governance and MLOps practices across the AI program.

You will lead end-to-end ML/AI initiatives, manage risk and cost, and drive scalable, reliable AI solutions in a fast-paced environment.

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