Enterprise AI Architect & Strategy Leader

Infosys Limited

Singapore

Hybrid

SGD 180,000 - 280,000

Full time

2 days ago
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Benefits offered by this job

Paid leave entitlements
HALE program
Life insurance
Optional health insurance
EAP
Rewards and Recognition

Job summary

Infosys is seeking a Sr / Principal Architect (AI) to partner with enterprise clients, guiding AI strategy from ideation to scalable architecture. You will bridge business vision with technology, delivering trustworthy, scalable AI solutions aligned with goals.

Lead architects and engineers in deploying LLMs, multi-agent systems, and MLOps pipelines across industries, with flexible hybrid work arrangements and global impact.

Qualifications

  • 18+ years in technology/solutions architecture with 3+ years in AI-led transformation roles.
  • Advanced degree in CS/AI/ML or related field preferred.
  • Excellent communication and storytelling skills for exec and technical stakeholders.

Responsibilities

  • Define AI transformation roadmaps and enterprise AI strategy with CxO-level guidance.
  • Lead ideation and design sessions for AI opportunities across domains.
  • Translate business needs into target-state AI architectures and cloud-native platforms.
  • Plan AI infrastructure including GPUs, data pipelines, and security.
  • Governance: establish frameworks for responsible AI and regulatory compliance.
  • Represent Infosys in client advisory forums and publish thought leadership.

Skills

Enterprise architecture
AI/ML architectures
Cloud platforms
Kubernetes
Ray
MLOps pipelines
Strong communication

Education

Advanced degree in Computer Science / AI/ML
BS degree in Mechanical Engineering or related field

Tools

Ray
Kubernetes
MLflow

Job description

Infosys is seeking a Sr / Principal Architect (AI) to partner with enterprise clients, guiding AI strategy from ideation to scalable architecture. You will bridge business vision with technology, delivering trustworthy, scalable AI solutions aligned with goals.

Lead architects and engineers in deploying LLMs, multi-agent systems, and MLOps pipelines across industries, with flexible hybrid work arrangements and global impact.

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