AI Architect - Internal Business Applications
MeridianLink13 hours ago
Base Salary
$150k - $200k/yr
Responsibilities
- Define and maintain reference architectures, architectural principles, standards, and governance for intelligent automation, LLM orchestration, agentic workflows, and enterprise integrations.
- Design and implement secure, reliable, scalable AI solutions for document processing, data extraction, workflow automation, decision support, and business process optimization.
- Establish requirements and standards for reliability, performance, scalability, cost optimization, compliance, service-level objectives, and validation.
- Create enterprise data integration, governance, and quality strategies across ERP, CRM, HCM, financial, and operational platforms.
- Develop APIs, reusable services, and foundational platform capabilities for scalable AI adoption.
- Contribute to MLOps and LLMOps capabilities, including pipeline standardization, observability, monitoring, lifecycle management, and production governance.
- Partner with business and technology stakeholders to identify AI opportunities, assess feasibility, define roadmaps, and lead adoption and change management.
Requirements
- 8+ years of experience in software architecture, platform engineering, AI/ML systems design, data architecture, or related technical disciplines.
- 4+ years of experience designing and deploying production-scale AI systems involving large language models, agent orchestration frameworks, and intelligent automation.
- Deep expertise in LLM serving, Retrieval-Augmented Generation, agentic orchestration, AI workflow design, observability, reliability, scalability, and cost optimization.
- Strong hands-on expertise with Python, SQL, cloud platforms, Docker, Kubernetes, enterprise integrations, API design, distributed systems, MLOps, LLMOps, Databricks, and Snowflake.
- Strong understanding of enterprise security, identity and access management, data governance, privacy, and compliance frameworks.
- Strong executive communication and stakeholder management skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
- Preferred qualifications include fintech, financial services, or enterprise SaaS experience; LLM fine-tuning, prompt engineering, RAG, vector databases, enterprise AI/ML workloads, event-driven architectures, real-time data processing, workflow orchestration, AI governance, model monitoring, drift detection, responsible AI, and a background in computer science, engineering, or a related field.
Tech Stack
Categories
About MeridianLink
MeridianLink builds cloud software for financial institutions to open accounts, originate consumer and mortgage loans, manage collections, and verify data. Its platform is sold to banks, credit unions, and consumer reporting agencies via subscriptions with implementation and managed services. Founded in 1998 and headquartered in Irvine, CA, MeridianLink is a public company on the NYSE.