AI Principal Architect - Remote in the US

AI Principal Architect - Remote in the USJoin to apply for the AI Principal Architect - Remote in the US role at Orca Pacific: A Monks CompanyPlease note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (/careers).About The RoleWe 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. 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 design future-ready application architectures infused with AI, ML, Automation, and data engineering principles that accelerate innovation and deliver measurable ROI for our clients. You will also serve as a key internal leader for AI growth, promoting knowledge sharing, hands-on experimentation, and technical alignment across the Engineering team, while mentoring engineers to deepen their applied AI/ML expertise.ResponsibilitiesLead 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 municate 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 YouThe 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 PlusCertifications 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.BenefitsWhat We OfferExcellent, full coverage medical, dental, and vision insurance with employer-paid HRAGenerous PTO and 15 company-wide holidays401k with company contributionPaid parental leaveWork-life balance with an emphasis on personal well-beingCareer growth in a disruptor space & entrepreneurial opportunities within the Monks networkA globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and moreAuthentic commitment to DEI efforts and sustainable growthSalary Range: $140,000—$190,000 USDAbout Monks: Monks is the global, purely digital, unitary operating brand of S4Capital plc. It focuses on AI-enabled marketing and technology services to accelerate business possibilities and redefine how brands interact with the world. Monks has received recognition from multiple industry outlets for growth and AI leadership.We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people. #J-18808-Ljbffr

Created: 2025-09-17