Generative AI Architect

Eligibility Criteria & Experience

Extensive experience in managing complex technology projects involving AI deployment architecture.

Strong understanding of cloud based infrastructure, containerization, orchestration, and CI/CD practices.

Ability to interpret solution designs, data flows, and integration patterns.

Excellent communication and stakeholder management skills.

Prior exposure to enterprise governance processes including risk management and change control.

Nice to have: experience in telecom billing and revenue management domains.

Role Overview & Job Description

This Architect role focuses on delivering complex AI deployment architecture projects within a hybrid work model for a global organization.

The professional will manage end to end project execution coordinate cross functional teams and ensure high quality AI solutions are deployed reliably.

Key Responsibilities

Manage large scale AI deployment architecture projects from initiation through closure.

Coordinate cross functional teams of engineers, architects, analysts, and stakeholders.

Monitor project plans, milestones, and dependencies using structured project management practices.

Drive detailed project planning for AI infrastructure, environments, and integration workflows.

Track project risks, issues, and assumptions related to AI deployment architecture.

Collaborate with product owners, data scientists, and platform engineers.

Required Technical & Soft Skills

Technical: AI deployment architecture, Cloud infrastructure, Containerization, CI/CD, Data flows & integration patterns.

Soft Skills: Excellent communication, Stakeholder management, Cross-functional leadership.

Important Notes & Details

Work Mode: Hybrid | Shift: Regular business hours

Applicants may be required to attend interviews in person or by video conference.