Digital AI Architect

Position Overview

We are seeking an experienced Digital AI Architect to lead the design and implementation of AI-driven enterprise solutions. The ideal candidate will have strong expertise in Generative AI, GraphQL, Python, API architecture, and enterprise solution design. This role requires collaborating with cross-functional teams to architect scalable, secure, and intelligent digital platforms that integrate AI capabilities into enterprise applications.

Key Responsibilities

• Design and architect enterprise-grade AI and Generative AI solutions aligned with business objectives.
• Develop scalable applications and services using Python and modern software architecture principles.
• Design, develop, and optimize GraphQL APIs for high-performance data access and integration.
• Lead API strategy, integration architecture, and microservices design across enterprise platforms.
• Evaluate and implement Generative AI technologies, including LLMs, prompt engineering, RAG, and AI orchestration frameworks.
• Define enterprise architecture standards, integration patterns, and technology roadmaps.
• Collaborate with product owners, engineering teams, and business stakeholders to deliver AI-powered digital solutions.
• Integrate AI services with cloud platforms, enterprise applications, and third-party APIs.
• Ensure scalability, security, governance, and performance of AI and API ecosystems.
• Provide technical leadership, architecture reviews, and mentorship to development teams.
• Stay current with emerging AI technologies and recommend innovative solutions.

Required Skills

• 10+ years of software engineering and solution architecture experience.
• Strong expertise in Python development.
• Hands-on experience with GraphQL development and API design.
• Experience building RESTful APIs and enterprise integration solutions.
• Strong knowledge of Generative AI, LLMs, AI agents, prompt engineering, and RAG architectures.
• Experience with enterprise architecture and distributed system design.
• Strong understanding of microservices, event-driven architecture, and cloud-native applications.
• Experience integrating AI models with enterprise platforms.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
• Experience with vector databases and AI orchestration frameworks.
• Familiarity with Kubernetes, Docker, CI/CD, and DevOps practices.
• Experience working in Agile/Scrum environments.
• TOGAF or cloud architecture certifications are a plus.