AI Architect - Internal Business Applications
MeridianLink13 hours ago
Base Salary
$150k - $200k/yr
Responsibilities
- Define and maintain reference architectures, principles, standards, and governance frameworks for AI, intelligent automation, LLM orchestration, agentic workflows, and enterprise integrations.
- Design and implement secure, compliant AI systems for document processing, data extraction, workflow automation, decision support, and business process optimization.
- Establish requirements and practices for reliability, performance, scalability, cost optimization, observability, compliance, service-level objectives, and validation.
- Develop enterprise data integration strategies, governance practices, data quality standards, APIs, reusable services, and foundational AI platform capabilities.
- Contribute to MLOps and LLMOps capabilities, including pipeline standardization, model observability, monitoring, lifecycle management, and production governance.
- Partner with business and technology stakeholders to identify AI opportunities, evaluate 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, including large language models, agent orchestration frameworks, and intelligent automation solutions.
- Deep expertise in LLM serving, Retrieval-Augmented Generation, agentic orchestration, and AI workflow design.
- Demonstrated experience designing enterprise-scale systems focused on 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, stakeholder management, architectural leadership, and ability to communicate with technical and non-technical audiences.
- Preferred qualifications include fintech, financial services, or enterprise SaaS experience; LLM fine-tuning, prompt engineering, RAG systems, vector databases, enterprise AI/ML workloads, ERP/CRM/HCM ecosystems, 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.