Applied AI Architect

Position Overview

ServiceChannel, the leading cloud‐based service automation platform for facilities management, is seeking a visionary and hands‐on AI/ML Architect to lead the design and implementation of enterprise-scale Artificial Intelligence, Machine Learning, and Generative AI solutions. In this strategic role you will define the architectural vision, drive innovation and guide end-to-end delivery of intelligent systems that enhance both our platform and customer experience. You will collaborate closely with cross-functional teams including data scientists, engineers, architects, and business stakeholders to integrate cutting-edge AI capabilities into our core products and services.

Key Responsibilities

• Architect AI Solutions within ServiceChannel products by designing and leading the development of scalable AI/ML/GenAI-enabled enhancements aligned with business and technical requirements.
• Collaborate with Product, Engineering, Data, and DevOps teams to ensure a seamless integration of AI into the existing platform capabilities.
• Provide strategic leadership by defining the vision, roadmap, and governance for AI initiatives, including platform selection, tooling, and best practices.
• Innovate and evaluate emerging trends; conduct technical assessments, feasibility studies, and proof-of-concepts to rapidly test and validate new capabilities.
• Establish and scale MLOps pipelines to support experimentation, model training, deployment, and production monitoring.
• Partner with data engineering and cloud teams to build robust data pipelines and infrastructure for AI workloads.
• Champion responsible AI by embedding fairness, transparency, explainability, and compliance into the AI lifecycle.
• Mentor and enable technical teams on AI architecture, model operationalization, and ensuring real-world scalability.

Required Qualifications

• 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, including at least 3 years focused on AI/ML architecture or enterprise-scale system design.
• Proven 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 AI agents.
• Robust proficiency in 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.

Benefits & Perks

• **Bonus Eligibility**: This position is eligible for bonus as part of the total compensation package.
• **Pay Range**: 120,500.00 - 223,900.00
• **Benefits Package**: Excellent benefits package including medical, dental, vision, life and LTD insurance, HSA, and a 401(k) retirement plan.