AI Architect - Internal Business Applications
Core
Define and lead the reference architecture for AI and intelligent automation across internal business operations, enabling secure, scalable AI-powered workflows and accelerating enterprise-wide business transformation.
Role type
Senior IC AI Architect (Internal Business Applications)
Builds
Reference architectures for AI runtimes, model serving, security controls, identity management, policy enforcement, and secure enterprise data access.
Domain
Enterprise software / AI & Intelligent Automation (via careerplan.io/jobs/bbdfd359-8913-41ed-816b-feb879b53d12-ai-architect-internal-business-applications-at-meridianlink)
Deliverable
production ML models
Required skills
Python, SQL, AWS/Azure/GCP, Docker, Kubernetes, API design, distributed systems architecture, MLOps, LLMOps, Databricks, Snowflake, LLM serving, RAG, agentic orchestration
Preferred skills
LLM fine-tuning, prompt engineering, vector databases, event-driven architectures, real-time data processing, AI governance, model monitoring, drift detection
Technologies
Python, SQL, AWS, Azure, Google Cloud Platform, Docker, Kubernetes, Databricks, Snowflake
Responsibilities
Define architectural vision, principles, standards, and governance framework for AI-first capabilities; Develop reference architectures for AI runtimes, model serving, security controls, identity management, policy enforcement, and secure enterprise data access; Establish non-functional requirements including reliability, performance, scalability, cost optimization, and compliance standards; Translate business and operational requirements into scalable AI solution architectures and implementation strategies; Design and implement secure, compliant intelligent automation and decision-support solutions; Establish enterprise data integration strategies, governance practices, and data quality standards; Develop APIs, reusable services, and foundational platform capabilities; Partner with business and technology stakeholders to identify high-impact AI opportunities; Contribute to MLOps and LLMOps capabilities; Lead adoption and change management efforts
Seniority
Senior, hands-on IC
