AI Solutions Architect

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Volaris Group

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2005

🤝 B2B

☁️ SaaS

💳 Fintech

B2B • SaaS • Fintech

Volaris Group is a company focused on acquiring and developing software businesses. They emphasize a long-term commitment to the companies they acquire, providing a supportive environment for local leaders while ensuring they maintain their unique cultures and relationships with customers. With a successful track record of hundreds of acquisitions, Volaris has not sold any of its portfolio companies, showcasing its dedication to fostering growth and innovation within the software industry.

📋 Description

• Define and maintain the Portfolio AI Reference Architecture, guiding principles, and reusable secure solution patterns • Evaluate and recommend enterprise AI platforms and technologies • Build reference implementations using leading AI tools • Establish engineering standards across model evaluation, testing, validation, observability, performance monitoring, and version management • Embed AI coding agents, automated code review, and testing automation into the software development lifecycle • Translate business problems into practical, commercially viable AI solution architectures • Lead Product Experts and engineering teams through solution discovery, delivery, and implementation • Embed security, privacy, auditability, governance, and Responsible AI principles into solutions • Mentor engineering teams, AI Champions, and AI Pods • Deliver technical workshops and architecture reviews • Build reusable AI Center of Excellence assets, including prompt libraries, reference architectures, templates, and playbooks • Evaluate emerging AI technologies and run proof-of-concept initiatives • Support the Head of AI in shaping the AI technology roadmap and investment priorities • Escalate conflicts between technical standards and commercial timelines to the Head of AI

🎯 Requirements

• Experience in enterprise software architecture, solution architecture, software engineering, or cloud platform leadership • Hands-on experience delivering AI, machine learning, or intelligent automation solutions • Experience embedding AI coding agents and automated testing/code-review tools into engineering workflows • Strong background designing enterprise, cloud-native, and API-first architectures • Experience integrating AI into SaaS products • Track record developing reusable frameworks and defining architecture standards and governance • Ability to balance innovation with operational stability • Ability to shape architectural decisions across multiple businesses • Strong technical leadership, mentoring, systems-thinking, and communication skills • Ability to communicate complex concepts to non-technical stakeholders • Pragmatic, collaborative, detail-oriented engineering mindset • Commitment to responsible AI • Must-have expertise in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, prompt engineering, model evaluation, AI observability, AI security, and vector databases • Nice-to-have expertise in enterprise integration patterns, Azure, AWS, Google Cloud, Microsoft Copilot ecosystem, OpenAI APIs, and Anthropic APIs • Experience with Semantic Kernel, LangChain, AutoGen, Model Context Protocol (MCP), or similar AI orchestration frameworks highly regarded

🏖️ Benefits

• Competitive compensation • Comprehensive benefits package • Opportunity to learn from the best in the business • Dynamic entrepreneurial environment • Equal opportunity employment