Applied AI Architect

Fortive

5h

About The Position

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.

Responsibilities

• Design and lead the development of scalable AI/ML/GenAI-enabled product enhancements aligned with business goals and technical requirements.
• Work hand-in-hand with Product, Engineering, Data and Devops teams to ensure seamless integration of AI into existing platform capabilities.
• Define the vision, roadmap, and governance for AI initiatives, including platform selection, tooling, and best practices.
• Stay ahead of emerging trends in AI/ML and GenAI; conduct technical assessments, feasibility studies, and POCs to rapidly test and validate new capabilities.
• Establish and scale MLOps pipelines to support experimentation, model training, deployment, and monitoring in production environments.
• Partner with data engineering and cloud teams to build robust data pipelines and infrastructure for AI workloads.
• Champion ethical AI practices by embedding fairness, transparency, explainability, and compliance into the AI lifecycle.
• Guide and mentor technical teams on AI architecture, model operationalization, and real-world scalability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level