Principal Architect, AI

S4 Capital Group

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States • Illinois, New York

✨ AI Apply

💰 $140,000 - $190,000 per year

Lead

AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptPythonRayTerraform

About the role

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
Document and share architectural frameworks, design patterns, and implementation playbooks related to AI/ML applications
Mentor engineers to deepen applied AI/ML expertise and elevate collective capabilities

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