Vice President - Data & AI Azure Solution Architect

Genpact

United States

On-site

USD 150,000 - 200,000

Full time

14 days+

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Job summary

A technology solutions provider in the United States is seeking a Senior Azure AI Architect. This role will own AI architecture strategy and scale teams while collaborating with partners and customers to deliver enterprise-grade AI solutions. The ideal candidate has over 15 years of tech experience, with a focus on Azure AI/ML. Strong leadership and technical problem-solving skills are essential.

Qualifications

  • 15+ years in technology.
  • 5+ years of Azure AI/ML experience.
  • Experience with cloud-native architectures, data pipelines, and ML Ops.
  • Ability to engage executives and customers.

Responsibilities

  • Design scalable AI solutions using Microsoft offerings.
  • Build and lead cross-functional technical teams.
  • Act as technology face with partners and customers.
  • Translate AI capabilities into business outcomes.
  • Establish AI governance and security best practices.
  • Lead proof-of-concepts and production deployments.
  • Collaborate with product and business leaders.

Skills

Azure AI/ML experience
Cloud-native architectures
Data pipelines
ML Ops
Technical problem-solving

Job description

Overview

We are building a next-generation orchestration product natively on Azure and the Microsoft ecosystem. To lead this initiative, we are seeking a Senior Azure AI Architect who will own the AI architecture strategy, scale technical teams, and serve as the front face for strategic AI implementation across our platform and customer engagements.

This role combines deep technical expertise in Azure AI services, product leadership, and the ability to scale high-performing teams that can deliver enterprise-grade AI solutions.

Responsibilities
  • Design and deliver scalable AI solutions leveraging Azure OpenAI, Cognitive Services, Azure ML, Synapse, and other Microsoft AI offerings.
  • Build and lead cross-functional technical teams (AI engineers, ML Ops, cloud engineers, data scientists).
  • Act as the strategic technology face with Microsoft partners, C-level executives, and enterprise customers.
  • Translate AI capabilities into business outcomes, ensuring adoption and measurable impact.
  • Establish and enforce best practices in AI governance, security, and responsible AI within the Azure ecosystem.
  • Lead proof-of-concepts, pilot programs, and production deployments, ensuring scalability and performance.
  • Collaborate closely with product and business leaders to align architecture with commercial and product strategy.
Ideal Profile
  • 15+ years in technology, with 5+ years of Azure AI/ML experience.
  • Strong experience with cloud-native architectures, data pipelines, and ML Ops.
  • Track record of scaling technical teams and driving engineering culture.
  • Ability to engage executives, partners, and customers with credibility and influence.

Strong technical problem solver who can balance strategic vision with hands-on execution

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