Monks
Overview
AI Principal Architect - Remote in the US. This is a client-facing, strategic role that bridges enterprise architecture, machine learning design patterns, and modern application development. You’ll 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 design future-ready architectures infused with AI, ML, automation, and data engineering principles to accelerate innovation and deliver measurable ROI. You will also mentor engineers to deepen applied AI/ML expertise and promote knowledge sharing across the Engineering team. 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 initiatives involving intelligent automation, predictive systems, recommendation engines, and generative AI. Provide technical leadership to development teams on MLOps, model serving, and AI application integration best practices. Ensure architecture security, compliance, scalability, and maintainability. Champion AI knowledge-sharing and innovation across the internal Engineering team by leading initiatives, workshops, and best practice sessions; serve as an AI ambassador within the organization to foster continuous learning and applied experimentation. Document and share architectural frameworks, design patterns, and implementation playbooks related to AI/ML applications. About You
The essentials
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. Not a Must, But a Plus
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
What We Offer
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 employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more Authentic commitment to DEI efforts and sustainable growth Salary Range $140,000—$190,000 USD About Monks: Monks is the global, purely digital, unitary operating brand of S4Capital plc. It is committed to equal opportunity and building a respectful, empowering work environment for all people. We encourage fresh voices and diverse perspectives to drive growth and innovation. We are an equal-opportunity employer and value diversity.
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AI Principal Architect - Remote in the US. This is a client-facing, strategic role that bridges enterprise architecture, machine learning design patterns, and modern application development. You’ll 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 design future-ready architectures infused with AI, ML, automation, and data engineering principles to accelerate innovation and deliver measurable ROI. You will also mentor engineers to deepen applied AI/ML expertise and promote knowledge sharing across the Engineering team. 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 initiatives involving intelligent automation, predictive systems, recommendation engines, and generative AI. Provide technical leadership to development teams on MLOps, model serving, and AI application integration best practices. Ensure architecture security, compliance, scalability, and maintainability. Champion AI knowledge-sharing and innovation across the internal Engineering team by leading initiatives, workshops, and best practice sessions; serve as an AI ambassador within the organization to foster continuous learning and applied experimentation. Document and share architectural frameworks, design patterns, and implementation playbooks related to AI/ML applications. About You
The essentials
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. Not a Must, But a Plus
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
What We Offer
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 employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more Authentic commitment to DEI efforts and sustainable growth Salary Range $140,000—$190,000 USD About Monks: Monks is the global, purely digital, unitary operating brand of S4Capital plc. It is committed to equal opportunity and building a respectful, empowering work environment for all people. We encourage fresh voices and diverse perspectives to drive growth and innovation. We are an equal-opportunity employer and value diversity.
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