Applied AI Architect

Greenville - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Description

Job Title:Applied AI Architect
Location:Remote
Job Type:Full-time

About ServiceChannel
ServiceChannel is the leading cloud-based service automation platform for facilities management. We empower businesses to source procure manage and pay for repair and maintenance services through a single unified platform. Our mission is to simplify operations and deliver exceptional customer experiences through innovation and technology.

Position Overview
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.

Key Responsibilities:

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.

Qualifications:

Bachelors or masters 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.

DescriptionJob Title:Applied AI ArchitectLocation:RemoteJob Type:Full-timeAbout ServiceChannelServiceChannel is the leading cloud-based service automation platform for facilities management. We empower businesses to source procure manage and pay for repair and maintenance services through a single u...

Description

Job Title:Applied AI Architect
Location:Remote
Job Type:Full-time

Key Responsibilities:

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.

Qualifications:

Bachelors or masters 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.

Key Skills

APIs
Pegasystems
Spring
SOAP
.NET
Hybris
Solution Architecture
Service-Oriented Architecture
Adobe Experience Manager
J2EE
Java
Oracle

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Fortive

Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product d ... View more

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