AI Architect

Role Overview

We are seeking a highly experienced AI / GenAI Architect to lead the establishment and execution of our AI Center of Excellence (COE). This individual will play a critical role in defining the organization’s AI strategy, building foundational capabilities, and driving the successful delivery of AI-powered solutions across the business.

This is a hands-on leadership role requiring a balance of strategic vision, architectural expertise, and technical execution.

Key Responsibilities

• Define AI / GenAI Strategy & Roadmap
• Lead the development of a comprehensive AI strategy aligned with business objectives, including identification of high-impact use cases, technology direction, and phased roadmap execution.
• Establish AI Center of Excellence (COE)
• Design and implement the COE structure, including governance models, operating frameworks, standards, and best practices to enable scalable AI adoption across the organization.
• Collaborate with Product & Engineering Teams
• Partner closely with cross-functional teams to identify, evaluate, and prioritize AI/GenAI use cases that deliver measurable business value.
• Lead Solution Architecture & Delivery Oversight
• Define end-to-end solution architectures for AI initiatives and provide technical leadership to ensure robust, scalable, and secure implementations.
• Hands-on Technical Contribution (30–40%)
• Actively contribute to prototyping, model evaluation, tool selection, and proof-of-concept development to accelerate innovation and validate approaches.
• Bridge Business & Technology
• Serve as a key liaison between business stakeholders and technical teams, translating business needs into actionable AI solutions and ensuring alignment throughout delivery.

Required Qualifications

• 10–15+ years of experience in software engineering, data science, or AI/ML, with a strong focus on AI/GenAI architecture and delivery
• Proven experience in defining and implementing AI strategies at an enterprise level
• Hands-on experience with GenAI technologies (LLMs, prompt engineering, RAG, etc.)
• Strong understanding of cloud platforms (Azure, AWS, or GCP) and AI/ML ecosystems
• Experience establishing or contributing to AI COEs or similar transformation initiatives
• Excellent stakeholder management and communication skills, with the ability to influence senior leadership