MeridianLink
Sr AI Architect - Internal Business Applications
US Remote · Senior
Sponsorship not specifiedDetected 15 days ago
PythonDistributed SystemsSQLDatabricksAWSGCPAzureCloud PlatformsDockerKubernetesPlatform EngineeringAPI DevelopmentMachine LearningNLPLLMsRAGLLMOpsMLOpsAI OrchestrationCybersecurityStakeholder ManagementCRMProcess ImprovementERP
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- The ideal candidate combines deep technical expertise with a hands-on approach to architecture, engineering leadership, and business enablement.
Responsibilities
- Develop reference architectures for AI runtimes, model serving, security controls, identity management, policy enforcement, and secure enterprise data access.
- Design and implement secure, compliant intelligent automation and decision-support solutions, including document processing, data extraction, workflow automation, and business process optimization.
- Establish enterprise data integration strategies, governance practices, and data quality standards that support AI readiness across ERP, CRM, HCM, financial, and operational platforms.
- Develop APIs, reusable services, and foundational platform capabilities that enable scalable AI adoption across business teams and technology organizations.
- Partner with business and technology stakeholders to identify high-impact AI opportunities, evaluate solution feasibility, and define implementation roadmaps.
- Lead adoption and change management efforts to support stakeholder alignment, trust, and effective utilization of AI-enabled solutions and intelligent automation capabilities.
- Deep expertise in modern AI architectures, including LLM serving, Retrieval-Augmented Generation (RAG), agentic orchestration, and AI workflow design.
- 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.
- Proven ability to provide architectural leadership from strategy and design through implementation and operationalization.
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.
- Strong hands-on expertise with Python and SQL
- 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 understanding of enterprise security, identity and access management, data governance, privacy requirements, 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.
- Prior experience enabling or architecting AI/ML workloads in enterprise environments.
- Familiarity with enterprise application ecosystems (ERP, CRM, HCM, financial systems) and integration patterns.
- Experience with event-driven architectures, real-time data processing, or workflow orchestration platforms.
- Understanding 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.
Apply directly at MeridianLink →Create a free account for alerts like thisView MeridianLink immigration profile
This listing is sourced directly from MeridianLink's careers page and normalized into a canonical job model.