AI Architect – Internal Business Applications

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and uphold the architectural vision, principles, standards, and governance framework for AI-first capabilities.

• Create reference architectures for AI runtimes, model serving, security controls, identity management, policy enforcement, and secure access to enterprise data.

• Set non-functional requirements, service-level objectives, and validation methodologies.

• Convert business and operational requirements from Finance, Human Resources, Operations, Customer Success, and other departments into scalable AI solution architectures and implementation strategies.

• Design and implement secure and compliant intelligent automation and decision-support solutions.

• Develop enterprise data integration strategies, governance practices, and data quality standards across ERP, CRM, HCM, financial, and operational platforms.

• Create APIs, reusable services, and foundational platform capabilities to support scalable AI adoption.

• Collaborate with business and technology stakeholders to identify AI opportunities, assess feasibility, and outline implementation roadmaps.

• Contribute to MLOps and LLMOps capabilities, encompassing pipeline standardization, model observability, monitoring, lifecycle management, and production governance.

• Lead initiatives for adoption and change management to support stakeholder alignment, trust, and effective utilization of AI-enabled solutions.

⛳️ Requirements

• Over 8 years of experience in software architecture, platform engineering, AI/ML systems design, data architecture, or related technical fields.

• More than 4 years of experience in designing and deploying production-scale AI systems, including large language models, agent orchestration frameworks, and intelligent automation solutions.

• Profound expertise in modern AI architectures, such as LLM serving, Retrieval-Augmented Generation (RAG), agentic orchestration, and AI workflow design.

• Proven track record in designing and implementing enterprise-scale systems with a strong emphasis on observability, reliability, scalability, and cost optimization.

• Strong practical expertise in Python and SQL.

• Familiarity with AWS, Azure, or Google Cloud Platform.

• Experience with Docker and Kubernetes.

• Background in enterprise integrations, API design, and distributed systems architecture.

• Experience with MLOps and LLMOps tools, frameworks, and best practices in production.

• Familiarity with Databricks and Snowflake.

• Strong communication skills and ability to manage stakeholders effectively.

• Demonstrated ability to provide architectural leadership from strategy and design to implementation and operationalization.

• Comprehensive understanding of enterprise security, identity and access management, data governance, privacy regulations, 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: previous experience enabling or architecting AI/ML workloads in enterprise settings.

• 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 discipline.

• Preferred: prior experience in high-scale, product-based, or global environments.

🏝️ Benefits

• Comprehensive insurance coverage (medical, dental, vision, life, and disability).

• Flexible paid time off.

• Paid holidays.

• 401(k) plan with company match.

• Option for remote work.