AI Architect – Internal Business Applications

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

📋 Description

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

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

• Define non-functional requirements focusing on reliability, performance, scalability, cost optimization, and compliance.

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

• Design and deploy secure, compliant intelligent automation and decision-support solutions, including document processing, data extraction, workflow automation, and optimization of business processes.

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

• Create APIs, reusable services, and foundational platform capabilities that facilitate scalable AI adoption.

• Collaborate with business and technology stakeholders to pinpoint high-impact AI opportunities, assess feasibility, and outline implementation roadmaps.

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

• Drive adoption and change management initiatives to ensure stakeholder alignment, build trust, and promote effective utilization of AI-enabled solutions.

⛳️ Requirements

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

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

• Profound knowledge of contemporary 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 focus on observability, reliability, scalability, and cost efficiency.

• Strong practical expertise in Python and SQL.

• Familiarity with cloud platforms, including 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 industry best practices.

• Knowledge of modern data platforms such as Databricks and Snowflake.

• Excellent executive communication and stakeholder management capabilities.

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

• Strong understanding of enterprise security, identity and access management, data governance, privacy requirements, and compliance frameworks.

• A background in computer science, engineering, or a related discipline is preferred.

• Ability to pass a background check, credit check, and drug test.

• Authorization to work in the United States is required.

🏝️ Benefits

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

• Flexible paid time off policy.

• Paid holidays.

• 401(k) plan with company match.

• Option for remote work.