AI Solution Architect

Primary Skills: AI Solution Architecture, Cloud Architecture, Enterprise Architecture, AI Platforms, API Integration, Solution Design

Skill Level: Any

────────────────────────────────────────────────────────

Role Overview

AI Solution Architect responsible for defining end-to-end architectures for AI solutions, proofs of concept (PoCs), and Minimum Viable Products (MVPs). The role focuses on designing scalable, secure, and enterprise-ready AI solutions while ensuring alignment with enterprise architecture standards, governance, and responsible AI principles.

────────────────────────────────────────────────────────

Key Responsibilities

• Design end-to-end solution architectures for AI initiatives, proofs of concept, and MVPs
• Assess technical feasibility, solution risks, dependencies, and integration requirements
• Define architectural requirements for AI models, data, APIs, security, infrastructure, and deployment
• Guide technical teams throughout AI solution design, implementation, and delivery
• Collaborate with business stakeholders to translate business objectives into scalable AI architectures
• Establish reusable architectural patterns, standards, and best practices for AI solutions
• Ensure compliance with enterprise architecture, security policies, and responsible AI governance
• Evaluate emerging AI technologies and recommend suitable architectural approaches
• Produce architecture documentation, technical roadmaps, and design decisions

────────────────────────────────────────────────────────

Required Skills

• Experience in Solution Architecture, Cloud Architecture, or AI Solution Architecture
• Strong understanding of AI solution design and enterprise architecture principles
• Experience designing scalable and secure cloud-based solutions
• Knowledge of API integration and distributed application architectures
• Understanding of AI model deployment, data flows, and infrastructure requirements
• Experience assessing technical feasibility, risks, and solution dependencies
• Knowledge of enterprise security and governance frameworks
• Strong communication, stakeholder management, and presentation skills

────────────────────────────────────────────────────────

Nice to Have

• Experience with Generative AI and Large Language Models (LLMs)
• Experience with cloud platforms such as AWS, Azure, Google Cloud, or IBM Cloud
• Knowledge of MLOps, AI governance, and Responsible AI frameworks
• Experience designing enterprise AI platforms
• AI or cloud architecture certifications

────────────────────────────────────────────────────────

Candidate Profile

• Experienced AI Solution Architect with a strong background in enterprise solution architecture and cloud technologies
• Skilled at designing secure, scalable, and production-ready AI solutions aligned with business objectives
• Comfortable working with cross-functional teams to transform innovative ideas into enterprise-grade AI implementations
• Strong analytical thinker with excellent communication, stakeholder management, and architectural leadership skills