AI Principal Architect - Remote in the US

Media.monks; Chicago (IL); Remote; USD 150,000 - 200,000; Full time

Job summary

A creative digital agency is seeking an AI Principal Architect to lead the architecture strategy for AI/ML solutions. This remote role requires extensive experience in application architecture, cloud platforms, and integrating AI technologies. You will collaborate with sales and delivery teams to create scalable systems that deliver measurable impact. The position offers full medical benefits, generous PTO, and growth opportunities within a diverse and inclusive culture.

Benefits

Excellent medical, dental, and vision insurance

Generous PTO and holidays

401k with company contribution

Paid parental leave

Work-life balance emphasis

Career growth opportunities

Diverse and inclusive culture

Qualifications

• 10+ years of experience in application architecture and software development.
• Proven experience designing and deploying AI/ML solutions at scale.
• Strong communication and client-facing skills.

Responsibilities

• Lead AI/ML architecture strategy in pre-sales engagements.
• Gather requirements to architect AI-integrated applications.
• Collaborate with teams to define AI-enhanced user journeys.

Skills

Application architecture

AI/ML solution design

Cloud platform proficiency

Technical storytelling

Data pipeline design

Collaboration in agile teams

Tools

AWS

Azure

Google Cloud Platform

Kubeflow

MLflow

Ray

LangChain

Job description

AI Principal Architect - Remote in the US • Chicago United States

We are seeking an AI/ML Architect who combines advanced software architecture expertise with deep experience in designing and integrating AI/ML-driven systems. This is a client-facing, strategic role that bridges enterprise architecture, machine learning design patterns, and modern application development.

About the Role

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’ll play a pivotal role in designing future-ready application architectures, infused with AI, ML, Automation, and data engineering principles, that accelerate innovation and deliver measurable ROI for our clients.

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.
• 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.

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
• Authentic commitment to DEI efforts and sustainable growth.

Monks is an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects.