US Remote is the location for this full-time AI Architect position focusing on internal business applications at MeridianLink. This role suits an experienced software and AI architecture professional looking to lead intelligent automation and enterprise transformation initiatives.
Role Overview
The AI Architect, Internal Business Applications, defines and leads the reference architecture for artificial intelligence and intelligent automation across internal business operations. The position owns the end-to-end design and development of modern AI solutions that drive process optimization, advanced analytics, decision intelligence, and autonomous workflows across departments such as Finance, Human Resources, Operations, and Customer Success. The role requires ensuring solutions align with operational requirements, regulatory standards, and enterprise governance frameworks.
Key Responsibilities
Define and maintain the architectural vision, principles, standards, and governance framework for AI-first capabilities including intelligent automation, LLM orchestration, agentic workflows, and enterprise integrations.
Develop reference architectures for AI runtimes, model serving, security controls, identity management, policy enforcement, and secure enterprise data access.
Establish non-functional requirements covering reliability, performance, scalability, cost optimization, and compliance standards.
Translate operational needs from Finance, Human Resources, Operations, and Customer Success into scalable AI solution architectures.
Design and implement secure intelligent automation solutions such as document processing, data extraction, and workflow automation.
Establish enterprise data integration strategies and governance practices supporting AI readiness across ERP, CRM, HCM, financial, and operational platforms.
Build APIs, reusable services, and foundational platform capabilities to enable scalable AI adoption.
Partner with stakeholders to identify high-impact AI opportunities, evaluate feasibility, and define roadmaps.
Contribute to MLOps and LLMOps capabilities including pipeline standardization, model observability, and lifecycle management.
Lead adoption and change management efforts to support stakeholder alignment and utilization of AI solutions.
Requirements
Minimum of 8 years of experience in software architecture, platform engineering, AI/ML systems design, data architecture, or related technical disciplines.
Minimum of 4 years of experience designing and deploying production-scale AI systems, including large language models, agent orchestration frameworks, and intelligent automation solutions.
Expertise in modern AI architectures such as LLM serving, Retrieval-Augmented Generation (RAG), agentic orchestration, and AI workflow design.
Success in designing enterprise-scale systems focusing on observability, reliability, scalability, and cost optimization.
Proficiency in Python, SQL, cloud platforms (AWS, Azure, Google Cloud Platform), containerization (Docker, Kubernetes), enterprise integration, API design, MLOps tools, and data platforms (Databricks, Snowflake).
Executive communication and stakeholder management skills.
Understanding of enterprise security, identity management, data governance, and compliance frameworks.
Nice to Have
Experience in fintech, financial services, or enterprise SaaS environments.
Hands-on experience with LLM fine-tuning, prompt engineering, RAG systems, and vector databases.
Experience enabling or architecting AI/ML workloads in enterprise environments.
Familiarity with enterprise application ecosystems like ERP, CRM, HCM, and financial systems.
Experience with event-driven architectures, real-time data processing, or workflow orchestration platforms.
Knowledge of AI governance, model monitoring, drift detection, and responsible AI frameworks.
Background in computer science, engineering, or a related field.
Prior experience in high-scale, product-based, or global environments.
Skills and Tools
Python
SQL
AWS, Azure, Google Cloud Platform
Docker, Kubernetes
Databricks, Snowflake
MLOps and LLMOps frameworks
LLMs, RAG, vector databases, agent orchestration
Salary and Benefits
Salary range: $150K – $200K
About the Company
MeridianLink provides technology solutions and operates environments where this role supports internal business applications and transformation across multiple business functions.
How to Apply
Candidates should apply on the official company careers page.
