Senior AI Architect (Internal Business Applications)

Join MeridianLink as a Senior AI Architect, where you will define and lead the reference architecture for AI and intelligent automation across our internal business operations. You will design, scope, and implement complex AI systems that optimize business processes, enhance data architecture, and drive enterprise-wide transformation. This role requires deep technical expertise, hands-on architecture experience, and a strong understanding of business operations.

• Definir y liderar la arquitectura de referencia para la inteligencia artificial y la automatización inteligente en las operaciones comerciales internas de MeridianLink.
• Diseñar, escopar e implementar sistemas de inteligencia artificial complejos que optimicen los procesos comerciales, el diseño de flujos de trabajo de IA y la arquitectura de datos.
• Establecer estrategias de integración de datos empresariales, prácticas de gobernanza y estándares de calidad de datos que respalden la preparación de IA en plataformas ERP, CRM, HCM, financieras y operativas.

• 4+ years of experience designing and deploying production-scale AI systems, including large language models, agent orchestration frameworks, and intelligent automation solutions
• Understanding of AI governance, model monitoring, drift detection, and responsible AI frameworks
• Proven ability to provide architectural leadership from strategy and design through implementation and operationalization
• Prior experience enabling or architecting AI/ML workloads in enterprise environments
• Strong understanding of enterprise security, identity and access management, data governance, privacy requirements, and compliance frameworks
• Background in computer science, engineering, or a related field
• Strong executive communication and stakeholder management skills, with the ability to influence decisions and communicate complex technical concepts to both technical and non-technical audiences
• Strong hands-on expertise with Python and SQL; cloud platforms such as AWS, Azure, or Google Cloud Platform; containerization and orchestration technologies, including Docker and Kubernetes; enterprise integrations, API design, and distributed systems architecture; MLOps and LLMOps tools, frameworks, and production best practices; and modern data platforms such as Databricks and Snowflake
• Hands-on experience with LLM fine-tuning, prompt engineering, RAG systems, and vector databases
• 8+ years of experience in software architecture, platform engineering, AI/ML systems design, data architecture, or related technical disciplines
• Demonstrated success designing and implementing enterprise-scale systems with a strong focus on observability, reliability, scalability, and cost optimization
• Prior experience in high-scale, product-based, or global environments
• Experience in fintech, financial services, or enterprise SaaS environments
• Familiarity with enterprise application ecosystems (ERP, CRM, HCM, financial systems) and integration patterns
• Deep expertise in modern AI architectures, including LLM serving, Retrieval-Augmented Generation (RAG), agentic orchestration, and AI workflow design
• Experience with event-driven architectures, real-time data processing, or workflow orchestration platforms