Fortive

Applied AI Architect

Fortive

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPyTorchTensorflow

About the role

  • We are seeking a visionary and hands-on AI/ML Architect to lead the design and implementation of enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) solutions. This strategic role is ideal for a technically adept leader who can bridge the gap between business objectives and cutting-edge AI technologies.
  • As the AI/ML Architect, you will define architectural vision, drive innovation, and guide the end-to-end delivery of intelligent systems that enhance our platform and customer experience. You will be an individual contributor as well as an orchestrator to collaborate closely with cross-functional teams including data scientists, engineers, architects, and business stakeholders to embed AI capabilities into our core products and services.
  • Architect AI Solutions within ServiceChannel products: Design and lead the development of scalable AI/ML/GenAI-enabled product enhancements aligned with business goals and technical requirements.
  • Collaboration and Execution: Work hand-in-hand with Product, Engineering, Data and Devops teams to ensure seamless integration of AI into existing platform capabilities.
  • Strategic Leadership: Define the vision, roadmap, and governance for AI initiatives, including platform selection, tooling, and best practices.
  • Innovation & Evaluation: Stay ahead of emerging trends in AI/ML and GenAI; conduct technical assessments, feasibility studies, and POCs to rapidly test and validate new capabilities.
  • Operational Excellence: Establish and scale MLOps pipelines to support experimentation, model training, deployment, and monitoring in production environments.
  • Data Collaboration: Partner with data engineering and cloud teams to build robust data pipelines and infrastructure for AI workloads.
  • Responsible AI: Champion ethical AI practices by embedding fairness, transparency, explainability, and compliance into the AI lifecycle.
  • Mentorship & Enablement: Guide and mentor technical teams on AI architecture, model operationalization, and real-world scalability.

Requirements

  • Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related field; PhD preferred.
  • 10+ years of experience in technology roles, with at least 3 years focused on AI/ML architecture or enterprise-scale system design.
  • Demonstrated success in architecting and deploying production-ready AI/ML solutions at scale within complex, data-rich enterprise SaaS products.
  • Deep understanding of machine learning, deep learning, and generative AI technologies and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).
  • Strong knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
  • Familiarity with retrieval-augmented generation (RAG), vector databases, fine-tuning of pre-trained models, and building voice or AI agents (e.g. protocols such as MCP).
  • Strong proficiency with cloud platforms (Azure - preferred, AWS or GCP) and data infrastructure.
  • Excellent communication and leadership skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.