AI Solution Architect

Role Overview

We are looking for an AI Solution Architect to lead the design and implementation of enterprise AI solutions The role focuses on defining architecture aligning business requirements with technology capabilities and ensuring scalable secure and productionready AI platforms and applications

Responsibilities

• Lead solution architecture design for AI Generative AI and machine learning initiatives

Engage with business stakeholders to understand requirements and define technology roadmaps

• Design endtoend AI platforms including data model application integration and security layers
• Define architecture standards best practices and governance frameworks
• Evaluate and recommend AI technologies tools and cloud services
• Provide technical leadership throughout the solution delivery lifecycle
• Ensure compliance with security risk and regulatory requirements
• Collaborate with engineering teams to guide implementation and resolve technical challenges
• Present solution designs and recommendations to senior stakeholders

Requirements

• Bachelors or Masters degree in Computer Science Engineering Information Technology or a related discipline
• 7 years of experience in solution architecture with experience delivering AI or datadriven solutions
• Strong understanding of machine learning Generative AI and LLMbased architectures
• Experience designing enterprisescale solutions on Azure AWS or GCP
• Knowledge of API integration microservices data platforms and distributed systems
• Experience with AI governance security and responsible AI principles
• Strong stakeholder management and communication skills
• Ability to translate business requirements into scalable technical architectures

Preferred Skills

• Experience with Azure OpenAI OpenAI Anthropic or similar AI platforms
• Experience with RetrievalAugmented Generation RAG vector databases and AI agent architectures
• Relevant cloud or architecture certifications Azure Solutions Architect AWS Solutions Architect TOGAF etc
• Experience in banking insurance or other highly regulated industries
• Experience leading architecture review boards and technical governance discussions

Key Difference

ML Engineer Hands on role focused on developing deploying and optimizing MLAI models

AI Solution Architect Strategic and technical leadership role responsible for designing enterprise AI solutions and guiding implementation across multiple teams