Enterprise AI & Intelligent Automation Architect

Openkrill; United States; Remoto; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

MeridianLink seeks an AI Architect to define the reference architecture for AI and intelligent automation across internal business operations. You will design scalable, secure AI systems aligning with governance, data access, and enterprise requirements.

The role covers end-to-end design and development of AI solutions driving analytics, decision intelligence, and autonomous workflows across Finance, HR, Operations, and Customer Success. Strong leadership and hands-on expertise are essential.

Competenze

• 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 LLMs, 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.
• Proven ability to provide architectural leadership with strategy, design, implementation, and operationalization.
• Strong hands-on expertise with Python and SQL; cloud platforms (AWS, Azure, or GCP); containers and orchestration (Docker, Kubernetes); API design, distributed systems architecture; MLOps/LLMOps; Databricks and Snowflake.
• Strong executive communication and stakeholder management skills, with the ability to influence decisions and communicate complex technical concepts to diverse audiences.
• Proven ability to lead architectural initiatives from strategy to deployment and operation.
• Strong understanding of enterprise security, identity and access management, data governance, privacy, and compliance frameworks.

Mansioni

• Define and maintain the architectural vision, principles, standards, and governance framework for AI-first capabilities, including intelligent automation and LLM orchestration.
• Develop reference architectures for AI runtimes, model serving, security controls, identity management, policy enforcement, and secure data access.
• Establish non-functional requirements, including reliability, performance, scalability, cost optimization, and compliance standards, with SLAs and validation methodologies.
• Translate business requirements from various functions into scalable AI solution architectures and implementation strategies.
• Design and implement secure, compliant intelligent automation and decision-support solutions, including document processing, data extraction, and workflow automation.
• Establish enterprise data integration strategies, governance practices, and data quality standards supporting AI readiness across ERP/CRM/HCM/finance/ops.
• Develop APIs, reusable services, and foundational platform capabilities to enable scalable AI adoption.
• Partner with business and technology stakeholders to identify AI opportunities, evaluate feasibility, and define roadmaps.
• Contribute to MLOps and LLMOps, including pipeline standardization, model observability, monitoring, lifecycle management, and production governance.
• Lead adoption and change management to ensure stakeholder alignment and trust in AI-enabled solutions.

Conoscenze

Python

SQL

Executive communication

Architectural leadership

Observability

Stakeholder management

Security and governance

Data architectures

LLM orchestration

AI/ML systems design

Formazione

Bachelor's degree in Computer Science or Engineering

Strumenti

Docker

Kubernetes

Databricks

Snowflake

APIs design

LLMOps tools

Descrizione del lavoro

MeridianLink seeks an AI Architect to define the reference architecture for AI and intelligent automation across internal business operations. You will design scalable, secure AI systems aligning with governance, data access, and enterprise requirements.

The role covers end-to-end design and development of AI solutions driving analytics, decision intelligence, and autonomous workflows across Finance, HR, Operations, and Customer Success. Strong leadership and hands-on expertise are essential.