AI Principal Architect - Remote in the US

Position Overview

We are seeking an AI/ML Architect who combines advanced software architecture expertise with deep experience in designing and integrating AI/ML-driven systems. In this client-facing, strategic role, you will partner with Sales, Delivery, and Data Science teams to architect scalable, intelligent systems that align with business priorities and create real-world impact. You will play a pivotal role in designing future-ready application architectures infused with AI, ML, automation, and data engineering principles to drive innovation, deliver measurable ROI for clients, and mentor engineering teams.

Key Responsibilities

• Lead AI/ML-aligned architecture strategy in pre-sales engagements, including workshops, solution presentations, and technical discovery.
• Gather business and technical requirements to architect AI-integrated applications and data platforms.
• Design modern application architectures with native AI/ML integration, leveraging cloud-native tools (e.g., SageMaker/Bedrock, Azure ML, Vertex AI).
• Translate complex ML and data science workflows into scalable production-ready systems.
• Collaborate with cross-functional teams—engineering, data, UX, and strategy—to define AI-enhanced user journeys and solutions.
• Communicate architectural vision, solution design, and business value to technical and executive stakeholders.
• Develop technical proposals and ROI models for intelligent automation, predictive systems, recommendation engines, and generative AI.
• Provide technical leadership on MLOps, model serving, and AI application integration best practices.
• Ensure architecture security, compliance, scalability, and maintainability.
• Champion AI knowledge-sharing and innovation via workshops and initiatives; serve as an AI ambassador.
• Document and share architectural frameworks, design patterns, and implementation playbooks related to AI/ML applications.

Required Qualifications

• 10+ years of experience in application architecture and modern software development.
• Proven experience designing and deploying AI/ML-infused solutions at scale.
• Proficiency with at least one major cloud platform (AWS, Azure, or GCP) including ML platform services (e.g., SageMaker, Vertex AI, Azure ML).
• Experience integrating ML models into microservice-based and event-driven architectures.
• Fluency in modern programming languages (Python preferred; Java, C++ and JavaScript also welcome).
• Experience with LLMs, retrieval-augmented generation (RAG), or generative AI in production environments.
• Familiarity with MLOps, CI/CD pipelines for ML, and Infrastructure as Code (Terraform, CloudFormation).
• Excellent communication and client-facing skills, especially in technical storytelling and aligning AI capabilities with business goals.
• Experience designing data pipelines and working with both structured and unstructured data.
• Strong collaboration and leadership skills in multidisciplinary, agile teams.

Preferred Qualifications

• Certifications such as Nvidia LLM, Nvidia Multimodal, Nvidia MLOPs, AWS Machine Learning Specialty, Google Professional ML Engineer, or Azure AI Engineer.
• Knowledge of model governance, fairness, explainability, and responsible AI practices.
• Experience with tools such as Kubeflow, MLflow, Ray, or LangChain.

Benefits & Perks

• Excellent, full coverage medical, dental, and vision insurance with employer-paid HRA.
• Generous PTO and 15 company-wide holidays.
• 401k with company contribution.
• Paid parental leave.
• Work-life balance with an emphasis on personal well-being.
• Career growth in a disruptor space & entrepreneurial opportunities within the Monks network.
• A globally diverse & inclusive culture with various employee resource groups.
• Authentic commitment to DEI efforts and sustainable growth.
• Compensation Range: $140,000—$190,000 USD