Senior AI Architect — Enterprise AI & Automation

OpenKrill; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

OpenKrill seeks a Sr. AI Architect for Internal Business Applications to define reference architecture for AI-enabled workflows across Finance, HR, Operations, and Customer Success.

You will lead secure, scalable AI solutions, including AI runtimes, data access, and governance, guiding cross-functional teams toward enterprise transformation. The role requires hands-on leadership, deep AI/ML expertise, and strong collaboration with stakeholders to implement scalable architectures and enforce

Qualifications

• 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; cloud platforms such as AWS, Azure, or Google Cloud Platform; containerization and orchestration technologies, including Docker and Kubernetes; enterprise integrations, API design, and distributed systems architecture; MLOps and LLMOps tools, frameworks, and production best practices; and modern data platforms such as Databricks and Snowflake.
• Strong executive communication and stakeholder management skills, with the ability to influence decisions and communicate complex technical concepts to both technical and non-technical audiences.
• 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.

Responsibilities

• Define and maintain the architectural vision, principles, standards, and governance framework for AI-first capabilities, including intelligent automation, large language model (LLM) orchestration, agentic workflows, and enterprise integrations.
• Develop reference architectures for AI runtimes, model serving, security controls, identity management, policy enforcement, and secure enterprise data access.
• Establish non-functional requirements, including reliability, performance, scalability, cost optimization, and compliance standards, while defining 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, including document processing, data extraction, workflow automation, and business process optimization.
• Establish enterprise data integration strategies, governance practices, and data quality standards that support AI readiness across ERP, CRM, HCM, financial, and operational platforms.
• Develop APIs, reusable services, and foundational platform capabilities that enable scalable AI adoption across business teams and technology organizations.
• Partner with business and technology stakeholders to identify high-impact AI opportunities, evaluate solution 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 to support stakeholder alignment, trust, and effective utilization of AI-enabled solutions and intelligent automation capabilities.

Skills

Python

SQL

Cloud platforms

Observability

Enterprise integrations

Data governance

Security & IAM

Stakeholder management

Architecture leadership

MLOps

LLMOps

RAG

API design

Distributed systems

Tools

Docker

Kubernetes

Databricks

Snowflake

APIs

LLMOps tools

Job description

OpenKrill seeks a Sr. AI Architect for Internal Business Applications to define reference architecture for AI-enabled workflows across Finance, HR, Operations, and Customer Success.

You will lead secure, scalable AI solutions, including AI runtimes, data access, and governance, guiding cross-functional teams toward enterprise transformation. The role requires hands-on leadership, deep AI/ML expertise, and strong collaboration with stakeholders to implement scalable architectures and enforce