AI Solutions Architect – Generative AI & Cloud

Job Overview

We are looking for an experienced AI Solutions Architect to own the end-to-end architecture of enterprise AI and Generative AI solutions.

You will work closely with business stakeholders, AI Engineers, Platform Engineers, and technical leadership to translate business requirements into scalable, secure, and production-ready AI architectures using modern cloud technologies.

This role is ideal for professionals with experience in AI/ML architecture, cloud solutions, LLMs, RAG, AI Agents, Azure AI, AWS, or GCP who enjoy solving complex technical problems and guiding engineering teams.

Key Responsibilities

• Own the end-to-end solution architecture for assigned AI and technology projects.
• Partner with business stakeholders to understand requirements and define technical success criteria.
• Translate business requirements into scalable and practical AI solution architectures.
• Evaluate proposed solutions against established architecture patterns, standards, and best practices.
• Design appropriate AI evaluation, safety, governance, and monitoring frameworks.
• Lead architecture review sessions and communicate technical decisions and trade-offs to stakeholders.
• Mentor AI and implementation teams on architecture decisions and best practices.
• Collaborate with AI Engineers, Platform Engineers, Software Engineers, and technical leadership.
• Develop and improve architecture documentation, templates, and reusable solution patterns.
• Contribute to the continuous improvement of enterprise AI architecture standards and best practices.
• Ensure solutions address security, data governance, compliance, scalability, reliability, and performance requirements.
• Stay current with emerging Generative AI, cloud, and AI architecture patterns.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• 3–7 years of experience in software engineering, IT architecture, solution architecture, or solution design.
• At least 1 year of experience designing or implementing enterprise technology solutions.
• At least 1 year of hands-on experience with Azure, AWS, and/or GCP.
• Experience gathering requirements and designing technical solutions.
• Strong understanding of LLMs, Generative AI, RAG systems, AI Agents, and AI evaluation concepts.
• Practical knowledge of Azure AI services, including Azure OpenAI and Cognitive Services, or equivalent AWS/GCP services.
• Knowledge of AI architecture patterns, software architecture, and design principles.
• Understanding of data governance, security, privacy, and compliance requirements.
• Knowledge of AI/ML concepts and solution design patterns.
• Strong ability to communicate architecture decisions and technical trade-offs to technical and non-technical stakeholders.

Preferred Qualifications

• Azure Solutions Architect Associate
• AWS Solutions Architect Associate
• GCP Associate Cloud Architect
• Experience designing Generative AI / LLM solutions.
• Experience with RAG, AI Agents, Prompt Engineering, or AI evaluation frameworks.
• Experience with enterprise cloud architecture and cloud-native technologies.
• Experience establishing AI governance, Responsible AI, or AI safety frameworks.

Key Skills

AI / Generative AI

• LLMs
• Generative AI
• RAG
• AI Agents
• AI/ML
• AI Evaluation
• AI Safety

Cloud

• Microsoft Azure
• Azure OpenAI
• Azure AI Services
• AWS
• GCP

Architecture

• Solution Architecture
• Enterprise Architecture
• Cloud Architecture
• AI Architecture
• Architecture Patterns
• Design Principles
• Security & Governance

What We're Looking For

• Strong problem-solving: Able to break complex requirements into clear architectural components.
• Excellent collaboration: Comfortable working with customers, engineers, product teams, and technical leadership.
• Strong communication: Can clearly explain technical architecture, decisions, risks, and trade-offs.
• Technical leadership: Able to guide implementation teams from architecture through delivery.
• Continuous learning: Keeps up with rapidly evolving AI, cloud, and enterprise architecture technologies.