Applied AI Architect
Fortive
AWSAzureCloudGoogle Cloud PlatformPyTorchTensorflow
Job Level
Senior
Tech Stack
AWSAzureCloudPythonPyTorchTensorflow
About the role
- Architect, develop, and deploy applied AI solutions that improve workflows, deliver measurable business impact, and drive meaningful changes to organizational processes.
- Lead cross-functional stakeholder engagement by clearly communicating AI concepts, opportunities, limitations, and recommended approaches to both technical and non-technical audiences to influence product and operational decisions.
- Design and apply generative AI and other model-based techniques to enable automation, accelerate design tasks, and create new product capabilities.
- Analyze complex datasets to identify patterns, quantify opportunities, optimize operations, and inform model design and evaluation criteria.
- Define AI roadmaps and integration plans in collaboration with product, design, and engineering teams to ensure timely, maintainable, and production-ready delivery of AI features and services.
- Contribute to mechanical CAD workflows by designing AI-driven features that enhance modeling, design automation, and user productivity (e.g., Fusion).
- Establish and champion engineering best practices for model development, evaluation, deployment, and monitoring to maintain reliability, reproducibility, and operational performance of AI services.
- Mentor and provide technical leadership to engineers and collaborators through code and model reviews, technical guidance, and by fostering knowledge transfer across teams.
- Define success metrics, track performance and impact of AI initiatives, and communicate outcomes and risks to leadership and stakeholders.
- Collaborate with operations and infrastructure partners to ensure deployed solutions meet operational, scalability, and maintainability requirements.
Requirements
- Minimum 5+ years of hands-on experience applying AI in practical, enterprise contexts, with senior-level responsibility for end-to-end solutions.
- Proven experience and ability to communicate complex AI concepts clearly and persuasively to both technical and non-technical stakeholders, influencing decisions and adoption.
- Demonstrated track record architecting, developing, and deploying applied AI solutions that deliver measurable business impact and improve software or operational workflows.
- Strong proficiency in Python and extensive practical experience with AI frameworks such as TensorFlow and PyTorch.
- Practical experience deploying AI services within cloud-native architectures (AWS, Azure, or equivalent) and integrating models into production software workflows.
- Advanced capability in analyzing complex datasets to identify patterns, optimize operations, and drive innovation across product and engineering processes.
- Experience designing AI solution architecture, including model selection, system integration, and considerations for reliability and maintainability in production.
- Demonstrated impact of AI initiatives in improving development efficiency, product workflows, or operational outcomes.
- Experience mentoring and leading other engineers, contributing to roadmaps, and collaborating effectively with cross-functional teams.
- Strong problem-solving skills, attention to detail, and a pragmatic focus on delivering reliable, maintainable solutions in production environments.
- Experience contributing to or designing features for CAD-related workflows (e.g., Fusion) that enhance mechanical modeling or design automation (desired).
- Familiarity with Generative AI techniques and their practical application to product features or automation (desired).
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