AI Architect – Internal Business Applications

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $150k - $200k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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MeridianLink

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1998

💳 Fintech

🏦 Banking

☁️ SaaS

💰 $485M Post-IPO Debt on 2021-11

Fintech • Banking • SaaS

MeridianLink is a leading provider of SaaS solutions for financial institutions, specializing in loan origination systems and digital transformation technologies. Their end-to-end platform enhances digital experiences through integration with mortgage LOS, deposit account opening solutions, and more. MeridianLink's cloud-based systems improve efficiency in loan processing and collections, data-driven decision-making, and account management. The company collaborates with partners to expand market reach and drive growth in the fintech industry. With over 25 years of experience, MeridianLink is dedicated to supporting banks, credit unions, and other financial service providers through technology and business intelligence.

📋 Description

• Define and maintain the 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, service-level objectives, and validation methodologies • Translate business and operational requirements from Finance, Human Resources, Operations, Customer Success, and other functions 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 across ERP, CRM, HCM, financial, and operational platforms • Develop APIs, reusable services, and foundational platform capabilities for scalable AI adoption • Partner with business and technology stakeholders to identify AI opportunities, evaluate feasibility, and define implementation roadmaps • Contribute to MLOps and LLMOps capabilities, including pipeline standardization, model observability, monitoring, lifecycle management, and production governance • Lead adoption and change management efforts supporting stakeholder alignment, trust, and effective use of AI-enabled solutions

🎯 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 modern AI architectures, including LLM serving, Retrieval-Augmented Generation (RAG), agentic orchestration, and AI workflow design • Demonstrated success designing and implementing enterprise-scale systems with a strong focus on observability, reliability, scalability, and cost optimization • Strong hands-on expertise with Python and SQL • Experience with AWS, Azure, or Google Cloud Platform • Experience with Docker and Kubernetes • Experience with enterprise integrations, API design, and distributed systems architecture • Experience with MLOps and LLMOps tools, frameworks, and production best practices • Experience with Databricks and Snowflake • Strong executive communication and stakeholder management skills • Proven ability to provide architectural leadership from strategy and design through implementation and operationalization • Strong understanding of enterprise security, identity and access management, data governance, privacy requirements, and compliance frameworks • Preferred: experience in fintech, financial services, or enterprise SaaS environments • Preferred: hands-on experience with LLM fine-tuning, prompt engineering, RAG systems, and vector databases • Preferred: prior experience enabling or architecting AI/ML workloads in enterprise environments • Preferred: familiarity with ERP, CRM, HCM, financial systems, and integration patterns • Preferred: experience with event-driven architectures, real-time data processing, or workflow orchestration platforms • Preferred: understanding of AI governance, model monitoring, drift detection, and responsible AI frameworks • Preferred: background in computer science, engineering, or a related field • Preferred: prior experience in high-scale, product-based, or global environments

🏖️ Benefits

• Insurance coverage (medical, dental, vision, life, and disability) • Flexible paid time off • Paid holidays • 401(k) plan with company match • Remote work