AI Architect – Internal Business Applications

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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MeridianLink

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1998

💳 Fintech

🏦 Bancário

☁️ SaaS

💰 $485.000.000 Post-IPO Debt em 2021-11

Fintech • Banking • SaaS

A MeridianLink é uma fornecedora líder de soluções SaaS para instituições financeiras, especializada em sistemas de originação de empréstimos e tecnologias de transformação digital. Sua plataforma fim-a-fim melhora as experiências digitais através da integração com sistemas de gestão de empréstimos hipotecários (LOS), soluções para abertura de contas de depósito e mais. Os sistemas em nuvem da MeridianLink aprimoram a eficiência no processamento de empréstimos e cobranças, na tomada de decisões orientadas por dados e na gestão de contas. A empresa colabora com parceiros para expandir seu alcance de mercado e impulsionar o crescimento na indústria de fintech. Com mais de 25 anos de experiência, a MeridianLink é dedicada a apoiar bancos, cooperativas de crédito e outros provedores de serviços financeiros através de tecnologia e inteligência empresarial.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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