Job Summary

The AI Architect is responsible for defining, designing, and governing end‑to‑end artificial intelligence system architectures that align with business objectives, data strategies, and enterprise technology standards. This role provides technical leadership across AI solution lifecycles, from ideation to production, ensuring scalability, security, interoperability, and regulatory compliance.

Competency Focus: AI system design, cloud-native architecture, MLOps patterns, model governance, large‑scale distributed systems

Key Responsibilities

• Lead the design and implementation of robust, scalable, and innovative AI solutions, overseeing the entire end-to-end AI solution blueprint and roadmap ensuring alignment with the technical and architectural standards
• Work closely with business leaders and key stakeholders to translate AI architecture requirements into strategic architecture solutions, securing the integration of cloud-native tools from major hyperscalers and machine learning
• Oversee the design and implementation of scalable, modular solutions that efficiently accommodate growing data volumes, user demands and evolving business needs, while enabling future upgrades and AI advancements
• Collaborate with teams to ensure seamless integration of AI models and platforms into existing infrastructure, such as CRM systems, ERP software, APIs, databases, and cloud platforms (AWS, GCP, Azure) and other critical business applications
• Orchestrate the deployment of AI models into live environments, driving continuous optimization, facilitating regular performance assessments, and ensuring timely retraining to sustain accuracy, effectiveness, and alignment with evolving business objectives post-deployment
• Ensure AI solutions adhere to stringent security and privacy requirements, implement encryption, authentication, and authorization protocols to safeguard data
• Liaison with AI Ethics & Compliance teams to lead initiatives to ensure AI solutions comply with data privacy regulations and industry-specific standards, while proactively monitoring and addressing compliance challenges related to data handling, model development, and deployment
• Advocate for ethical AI practices by ensuring models and algorithms are transparent, explainable, and fair, while promoting the responsible use of AI in alignment with the organization’s ethical guidelines and governance framework

Skill Requirements

Other Requirements