Enterprise AI Architect

ThoughtMinds; India; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A rapidly growing AI-driven software engineering firm in India is seeking an experienced Enterprise AI Architect. This role will focus on defining and driving AI strategy at the enterprise level, designing scalable and secure AI systems, and collaborating with various teams to ensure alignment with business goals. The ideal candidate will have extensive experience in architecture roles, particularly with AI/ML systems, and proficiency in cloud platforms such as AWS, Azure, and GCP. Excellent communication skills are essential as you will guide best practices across the organization.

Qualifications

• 8–12 years of experience in architecture roles with strong exposure to AI/ML systems.
• Proven experience in defining AI strategy at the enterprise level.
• Deep understanding of AI system architecture and large-scale distributed systems.

Responsibilities

• Define and own the enterprise AI strategy, roadmap, and reference architectures.
• Design end-to-end AI system architectures for large-scale, enterprise applications.
• Lead the adoption of AI across business units while ensuring alignment with organizational goals.
• Architect scalable and resilient AI platforms on cloud environments (AWS, Azure, GCP).
• Establish AI governance frameworks, including security, compliance, ethics, and risk management.

Skills

AI/ML systems architecture

Cloud platforms (AWS, Azure, GCP)

AI governance

Stakeholder management

Performance optimization

Job description

ThoughtMinds is one of the fastest-growing AI-driven software product engineering firms leveraging its unique ‘Half AI + Half Human’ approach to building software. With over two decades of experience in driving digital transformation & product engineering solutions for global clients, we leverage our in-house accelerators to fast-track ROI.

We are seeking an experienced Enterprise AI Architect to define and drive AI strategy at an enterprise level. The ideal candidate will design scalable, secure, and governed AI systems aligned with business goals, working closely with leadership, engineering, and data teams across the organization.

Key Responsibilities:

• Define and own the enterprise AI strategy, roadmap, and reference architectures
• Design end-to-end AI system architectures for large-scale, enterprise applications
• Lead the adoption of AI across business units while ensuring alignment with organizational goals
• Architect scalable and resilient AI platforms on cloud environments (AWS, Azure, GCP)
• Establish AI governance frameworks, including security, compliance, ethics, and risk management
• Ensure scalability, reliability, and performance of AI systems across the enterprise
• Guide teams on best practices for AI, ML, MLOps, and system integration
• Collaborate with stakeholders to evaluate AI use cases and define technical standards

Required Skills:

• 8–12 years of experience in architecture roles with strong exposure to AI/ML systems
• Proven experience in defining AI strategy at the enterprise level
• Deep understanding of AI system architecture and large-scale distributed systems
• Strong hands‑on experience with AWS, Azure, and GCP
• Expertise in AI governance, security, compliance, and ethical AI practices
• Strong knowledge of scalability, performance optimization, and system reliability
• Excellent communication and stakeholder management skill