Senior AI & Distributed Systems Consultant

VISA

Washington (District of Columbia)

Hybrid

USD 163,000 - 260,000

Full time

9 days ago

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Benefits offered by this job

Medical, Dental, Vision
401(k)
Paid Time Off
Wellness Program

Job summary

Visa’s Technology Organization seeks a versatile Sr. Consultant Engineer to lead AI-powered solutions across payment flows, fraud intelligence, and data platforms. You will guide teams from ideation to scaled deployment, shaping the next generation of AI-enabled services for Visa’s global network.

The role requires deep technical skills in ML, data platforms, and modern stacks (Python, Java, C++, Kubernetes, LLM APIs). Hybrid office work is expected in the Washington, DC area with in-office days.

Qualifications

  • Strong technical leadership across AI, data platforms, and distributed systems.
  • Ability to translate business needs into scalable engineering plans.
  • Experience with ML, cloud, and high-availability architectures.

Responsibilities

  • Provide deep technical leadership across AI and large-scale systems.
  • Lead architecture and design for scalable AI features and integrations.
  • Establish responsible AI standards including data quality and governance.
  • Drive cross-functional collaboration and ensure measurable product value.

Skills

AI-first mindset
Product leadership with technicaldepth
Cross-functional collaboration
Python
Java
C++
Kubernetes
Docker
LLM APIs
Real-time data systems

Education

Bachelor’s Degree
Advanced Degree (Masters, MBA, JD, MD)
PhD (optional)

Tools

Python
NodeJS
Java
C/C++
ReactJS
Kubernetes
Docker
Jenkins
OAuth2 / SSO
Vector databases

Job description

Visa’s Technology Organization seeks a versatile Sr. Consultant Engineer to lead AI-powered solutions across payment flows, fraud intelligence, and data platforms. You will guide teams from ideation to scaled deployment, shaping the next generation of AI-enabled services for Visa’s global network.

The role requires deep technical skills in ML, data platforms, and modern stacks (Python, Java, C++, Kubernetes, LLM APIs). Hybrid office work is expected in the Washington, DC area with in-office days.

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